Triple
T16872156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shohei Shigematsu |
E421195
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | OMA |
E112377
|
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: OMA | Statement: [Shohei Shigematsu, employer, OMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMA Context triple: [Shohei Shigematsu, employer, OMA]
-
A.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
B.
OMA
chosen
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
C.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
D.
OMA
OMA is a Mexican airport operator that manages and develops a network of airports in the central and northern regions of Mexico.
-
E.
OMA
OMA is the women's organization affiliated with Angola’s ruling MPLA party, focused on mobilizing and representing women in political and social life.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f31b448190a21e3e4d1a0d2f73 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b0dcbc8190a164cbd57586ac9c |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:29 a.m.