Triple
T17019124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotorua Airport |
E412898
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | ROT |
E412898
|
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: ROT | Statement: [Rotorua Airport, IATA code, ROT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROT Context triple: [Rotorua Airport, IATA code, ROT]
-
A.
ROT
ROT is the ICAO airline designator for TAROM, the flag carrier airline of Romania.
-
B.
ROT
chosen
ROT is the IATA airport code for Rotorua Airport in Rotorua, New Zealand.
-
C.
Rotor
Rotor is a Russian football club nickname most commonly associated with FC Rotor Volgograd.
-
D.
ROLT
ROLT is the acronym for the Regional Organizations Liaison Team, a group that coordinates and facilitates communication and collaboration among various regional organizations.
-
E.
ROP
ROP is the frequent flyer program of Thai Airways, offering members mileage accrual and redemption benefits for flights and related services.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d481a0988190a13d0928e0c7ebbf |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4d6cb881909b64b4368fd97fa9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.