Triple
T9851439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuuk International Airport |
E239478
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
PTKK
PTKK is the ICAO airport code for Chuuk International Airport in the Federated States of Micronesia.
|
E824961
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PTKK | Statement: [Chuuk International Airport, ICAOcode, PTKK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PTKK Context triple: [Chuuk International Airport, ICAOcode, PTKK]
-
A.
Institut Teknologi Sepuluh Nopember
Institut Teknologi Sepuluh Nopember is a leading Indonesian public technological university renowned for its engineering and science programs.
-
B.
Institut Teknologi Bandung
Institut Teknologi Bandung is a leading Indonesian public university renowned for its strong programs in science, engineering, and technology.
-
C.
Sebelas Maret University
Sebelas Maret University is a prominent public university located in Surakarta (Solo), Indonesia, known for its wide range of academic programs and research activities.
-
D.
Universitas Pekalongan
Universitas Pekalongan is a higher education institution located in the coastal city of Pekalongan on the island of Java, Indonesia.
-
E.
Telkom University
Telkom University is a private Indonesian university in Bandung known for its strong focus on information and communication technology, engineering, and business education.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PTKK Triple: [Chuuk International Airport, ICAOcode, PTKK]
Generated description
PTKK is the ICAO airport code for Chuuk International Airport in the Federated States of Micronesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PTKK Target entity description: PTKK is the ICAO airport code for Chuuk International Airport in the Federated States of Micronesia.
-
A.
Institut Teknologi Sepuluh Nopember
Institut Teknologi Sepuluh Nopember is a leading Indonesian public technological university renowned for its engineering and science programs.
-
B.
Institut Teknologi Bandung
Institut Teknologi Bandung is a leading Indonesian public university renowned for its strong programs in science, engineering, and technology.
-
C.
Sebelas Maret University
Sebelas Maret University is a prominent public university located in Surakarta (Solo), Indonesia, known for its wide range of academic programs and research activities.
-
D.
Universitas Pekalongan
Universitas Pekalongan is a higher education institution located in the coastal city of Pekalongan on the island of Java, Indonesia.
-
E.
Telkom University
Telkom University is a private Indonesian university in Bandung known for its strong focus on information and communication technology, engineering, and business education.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3742fe48190bae6e6d828a9cc0d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ee190c8190957451d8d8291df3 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6a385ac8190b5dd11adfbb7578d |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d75210f4819096ee05a8b870581e |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.