Triple
T16131885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadi International Airport |
E391417
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Nadi Airport |
E69389
|
NE FINISHED |
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: Nadi Airport | Statement: [Nadi International Airport, formerName, Nadi Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadi Airport Context triple: [Nadi International Airport, formerName, Nadi Airport]
-
A.
Nadi International Airport
chosen
Nadi International Airport is Fiji’s main international gateway and busiest airport, serving as the primary hub for international flights to and from the country.
-
B.
Tari Airport
Tari Airport is a regional airfield serving the town of Tari and surrounding areas in Hela Province, Papua New Guinea.
-
C.
Diffa Airport
Diffa Airport is a small public airport serving the town and surrounding region of Diffa in southeastern Niger.
-
D.
Palam Airport
Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
-
E.
Naypyidaw International Airport
Naypyidaw International Airport is the main commercial airport serving Myanmar’s capital, designed to handle international and domestic flights with modern terminal facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a0ed9c8190a10fa88ee94811cb |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.