Triple
T23213494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodhya Airport |
E580667
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | AYJ |
—
|
NE NERFINISHED |
How this triple was built (2 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: AYJ | Statement: [Ayodhya Airport, hasIATACode, AYJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AYJ Context triple: [Ayodhya Airport, hasIATACode, AYJ]
-
A.
AYJ
chosen
AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
-
B.
AYG
AYG is the abbreviation for the Asian Youth Games, a multi-sport event for young athletes from across Asia organized under the Olympic movement.
-
C.
AJ
AJ is an American actress and singer-songwriter best known as one half of the pop duo Aly & AJ and for her roles in film and television.
-
D.
AJ
AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
-
E.
AJ
AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19162c77c8190ba29c59ea9695316 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.