Triple
T12235923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filbert Street |
E291590
|
entity |
| Predicate | zoningSecondaryUse |
P23955
|
FINISHED |
| Object | office |
—
|
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: office | Statement: [Filbert Street, zoningSecondaryUse, office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoningSecondaryUse Context triple: [Filbert Street, zoningSecondaryUse, office]
-
A.
secondaryLandUse
chosen
Indicates a secondary or additional way in which a piece of land is used, beyond its primary designated use.
-
B.
hasIndustrialZoning
Indicates that a given area or property is designated for industrial use under zoning regulations.
-
C.
associatedWithVenueSecondaryUse
Indicates that an entity has a secondary or supplementary association with a particular venue, beyond its primary or main use.
-
D.
hasZoningRestriction
Indicates that an entity is subject to a specific zoning-related limitation or regulatory constraint.
-
E.
landUseIncludes
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.