Triple
T3080438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenderal Ahmad Yani International Airport |
E64243
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SRG
SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
|
E324614
|
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: SRG | Statement: [Jenderal Ahmad Yani International Airport, IATAcode, SRG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRG Context triple: [Jenderal Ahmad Yani International Airport, IATAcode, SRG]
-
A.
SRB
SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
-
B.
SRB
SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
-
C.
SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
-
D.
SG
SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
-
E.
SG
SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
- 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: SRG Triple: [Jenderal Ahmad Yani International Airport, IATAcode, SRG]
Generated description
SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SRG Target entity description: SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
-
A.
SRB
SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
-
B.
SRB
SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
-
C.
SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
-
D.
SG
SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
-
E.
SG
SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a9d61081909953eb2f4ad4537e |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89443a4819091dafc560b45cc26 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f93d5b208190835093f453fd33ab |
completed | March 11, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9ea9b908190a86e2b79a89e0283 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.