Triple
T13325390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martinair |
E317427
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | MP |
E317427
|
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: MP | Statement: [Martinair, IATACode, MP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MP Context triple: [Martinair, IATACode, MP]
-
A.
MP
MP is the reporting mark for the Missouri Pacific Railroad, a major former U.S. Class I railroad that operated across the Midwest and Southwest.
-
B.
MP
MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
-
C.
MP
chosen
MP is the IATA airline designator assigned to Martinair, a Dutch cargo and former passenger airline based in the Netherlands.
-
D.
MP
MP is the vehicle registration code for the Indian state of Madhya Pradesh.
-
E.
MP2
MP2 is the dedicated low-cost carrier terminal at Marseille Provence Airport, serving budget airlines and simplified passenger 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2cd5688190a2a0db0f0295de83 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.