Triple
T2799345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bungalow Heaven |
E53113
|
entity |
| Predicate | landUseRegulation |
P21194
|
FINISHED |
| Object | subject to historic preservation guidelines |
—
|
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: subject to historic preservation guidelines | Statement: [Bungalow Heaven, landUseRegulation, subject to historic preservation guidelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landUseRegulation Context triple: [Bungalow Heaven, landUseRegulation, subject to historic preservation guidelines]
-
A.
landUseIncludes
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
-
B.
landPolicy
chosen
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
C.
legalArea
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
-
D.
hasLocalOrdinances
Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
-
E.
otherLandUse
Indicates that the land is used for purposes that do not fall into any of the primary or predefined land-use categories.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf31eec8190a898713e53d1aa5c |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.