Triple
T21121055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZ Alkmaar |
E520430
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | AZ |
—
|
NE NERFINISHED |
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: AZ | Statement: [AZ Alkmaar, nickname, AZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZ Context triple: [AZ Alkmaar, nickname, AZ]
-
A.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
B.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
-
C.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
-
D.
AZ
chosen
AZ is a professional football club from Alkmaar in the Netherlands that competes in the Dutch Eredivisie.
-
E.
AZ
AZ is the Dutch government’s Ministry of General Affairs, responsible for supporting the Prime Minister and coordinating overall government policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e722348fe08190a1f079b7b0b5dd14 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:55 p.m.