Triple
T5904030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Specialized Operations |
E131295
|
entity |
| Predicate | oftenInvolves |
P23735
|
FINISHED |
| Object | coordination with multiple departments |
—
|
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: coordination with multiple departments | Statement: [Division of Specialized Operations, oftenInvolves, coordination with multiple departments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenInvolves Context triple: [Division of Specialized Operations, oftenInvolves, coordination with multiple departments]
-
A.
oftenInvolvedWith
chosen
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
-
B.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
C.
constantInvolved
Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
-
D.
oftenAccompaniedBy
Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
-
E.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.