Triple
T11058570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANA Group |
E261443
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | ANA |
E218076
|
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: ANA | Statement: [ANA Group, brand, ANA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANA Context triple: [ANA Group, brand, ANA]
-
A.
ANA
ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
-
B.
ANA
chosen
ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
-
C.
ANA
ANA is a postal code format designation associated with the K9K region.
-
D.
ANA
ANA is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
-
E.
ANA
ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2efa48190b290f43dfe836501 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c87ab0308190a6a6ada1708f0ec2 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.