Triple
T2037481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulder City, Nevada |
E44664
|
entity |
| Predicate | zoningPolicy |
P727
|
FINISHED |
| Object | limits building heights |
—
|
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: limits building heights | Statement: [Boulder City, Nevada, zoningPolicy, limits building heights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoningPolicy Context triple: [Boulder City, Nevada, zoningPolicy, limits building heights]
-
A.
locationPolicy
Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
-
B.
zoningCharacter
chosen
Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
-
C.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
D.
ordinationPolicy
Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
-
E.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb95062c481908058d6da35337680 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.