Triple
T35471140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle universe |
E1025210
|
entity |
| Predicate | hasPrimaryOrganization |
P10535
|
FINISHED |
| Object | New York City Police Department |
E3068
|
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: New York City Police Department | Statement: [Castle universe, hasPrimaryOrganization, New York City Police Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryOrganization Context triple: [Castle universe, hasPrimaryOrganization, New York City Police Department]
-
A.
hasMainOrganizationRole
Indicates that an entity holds the primary or most significant organizational role within a given context or structure.
-
B.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
C.
hasFrontOrganization
Indicates that an entity is represented, covered, or operated through another entity that serves as its front or façade organization.
-
D.
hasPrimaryBusinessLocation
Indicates that an entity’s main or principal place of business is located at a specified location.
-
E.
hasMajorOrganization
chosen
Indicates that an entity is associated with or primarily represented by a major organization.
- F. None of above.
Provenance (4 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3840381efc8190a1fefc74c15050a5 |
completed | June 21, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.