Triple
T14644632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ujae Airport |
E343814
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
UJAP
UJAP is the ICAO airport code assigned to Ujae Airport in the Marshall Islands.
|
E337356
|
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: UJAP | Statement: [Ujae Airport, ICAOCode, UJAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UJAP Context triple: [Ujae Airport, ICAOCode, UJAP]
-
A.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
-
B.
UJN
UJN is the commonly used abbreviation for the University of Jinan, a comprehensive higher education institution located in Jinan, China.
-
C.
UJE
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
-
D.
UNIJAPAN
UNIJAPAN is a Japanese organization dedicated to promoting Japanese cinema domestically and internationally, including through the management of major film events.
-
E.
JUPEM
JUPEM is the national agency responsible for land surveying, mapping, and geospatial data management in Malaysia.
- 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: UJAP Triple: [Ujae Airport, ICAOCode, UJAP]
Generated description
UJAP is the ICAO airport code assigned to Ujae Airport in the Marshall Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UJAP Target entity description: UJAP is the ICAO airport code assigned to Ujae Airport in the Marshall Islands.
-
A.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
-
B.
UJN
UJN is the commonly used abbreviation for the University of Jinan, a comprehensive higher education institution located in Jinan, China.
-
C.
UJE
chosen
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
-
D.
UNIJAPAN
UNIJAPAN is a Japanese organization dedicated to promoting Japanese cinema domestically and internationally, including through the management of major film events.
-
E.
JUPEM
JUPEM is the national agency responsible for land surveying, mapping, and geospatial data management in Malaysia.
- F. None of above.
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d5d05481908dbb23392c05d23b |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd74cc4048190bae5f75d922c9618 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:26 a.m.