Triple
T1398722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personnel Committee |
E30729
|
entity |
| Predicate | decisionDomain |
P16421
|
FINISHED |
| Object | personnel |
—
|
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: personnel | Statement: [Personnel Committee, decisionDomain, personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionDomain Context triple: [Personnel Committee, decisionDomain, personnel]
-
A.
decisionLanguage
Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
-
B.
decisionScope
chosen
Indicates the range or domain within which a particular decision is valid, applicable, or has authority.
-
C.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
D.
decisionBody
Indicates that one entity serves as the authoritative body or group responsible for making a particular decision regarding another entity or matter.
-
E.
decisionPublicationPolicy
Indicates the policy or rules governing how decisions are made public or communicated.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39b1ea0819090e49454885d4b7d |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.