Triple
T9853822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Hollywood |
E239534
|
entity |
| Predicate | hasRentControlOrdinance |
P16838
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [West Hollywood, hasRentControlOrdinance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRentControlOrdinance Context triple: [West Hollywood, hasRentControlOrdinance, yes]
-
A.
hasLocalOrdinances
chosen
Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
-
B.
hasHousingPolicy
Indicates that an entity possesses, adopts, or is governed by a specific housing-related policy or set of rules.
-
C.
hasPublicHousingAuthority
Indicates that an entity is associated with, governed by, or served by a specific public housing authority.
-
D.
withinBoroughPolicy
Indicates that an action or arrangement complies with the rules or constraints specific to a particular borough.
-
E.
governingLawForOccupant
Indicates the legal framework or set of laws that apply to and regulate the rights, obligations, and activities of a particular occupant.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.