Triple
T7526568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Beach City Council |
E177907
|
entity |
| Predicate | lawMakingFunction |
P55287
|
FINISHED |
| Object | passes ordinances and resolutions |
—
|
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: passes ordinances and resolutions | Statement: [Long Beach City Council, lawMakingFunction, passes ordinances and resolutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawMakingFunction Context triple: [Long Beach City Council, lawMakingFunction, passes ordinances and resolutions]
-
A.
definesAct
Indicates that one entity specifies, determines, or lays out the nature, scope, or details of an action performed by another entity.
-
B.
promulgatesLawsAt
chosen
Indicates the action by which an authority formally enacts or issues laws within a particular jurisdiction or location.
-
C.
legalCodePromulgatedBy
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
-
D.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
E.
areaOfLegislation
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.