Triple
T10758324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Division |
E253756
|
entity |
| Predicate | isNicknamedFor |
P38200
|
FINISHED |
| Object | its association with New York |
—
|
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: its association with New York | Statement: [New York Division, isNicknamedFor, its association with New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNicknamedFor Context triple: [New York Division, isNicknamedFor, its association with New York]
-
A.
nicknamedFor
chosen
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
B.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
C.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
-
D.
hasNicknamedEntityType
Indicates that an entity is associated with another entity type specifically in the role of being its nickname or informal name.
-
E.
notableNickname
Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72ea107a48190b6b92bb0df03e517 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.