Triple
T22744894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Zou Crew |
E562520
|
entity |
| Predicate | identityOrigin |
P134943
|
FINISHED |
| Object | nickname "Zou" for Missouri |
—
|
LITERAL 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: nickname "Zou" for Missouri | Statement: [The Zou Crew, identityOrigin, nickname "Zou" for Missouri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identityOrigin Context triple: [The Zou Crew, identityOrigin, nickname "Zou" for Missouri]
-
A.
identityDerivedFrom
chosen
Indicates that one entity’s identity is obtained, inferred, or constructed based on another entity’s identity.
-
B.
originalIdentity
Indicates that one entity represents the initial or true identity from which another entity is derived, transformed, or aliased.
-
C.
identityStoredIn
Indicates that an entity’s identity information is kept or recorded within another entity or storage medium.
-
D.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
E.
globalIdentity
Indicates that two or more identifiers or representations actually refer to the same underlying global entity or individual.
- F. None of above.
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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797590f08190a784f73fcd27b101 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:23 p.m.