Triple
T18720645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Belvedere |
E457763
|
entity |
| Predicate | hasLimitedCommercialAreas |
P132413
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [City of Belvedere, hasLimitedCommercialAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedCommercialAreas Context triple: [City of Belvedere, hasLimitedCommercialAreas, true]
-
A.
hasNoCommercialZone
Indicates that the subject area or entity does not contain any designated commercial zone or commercial-use area.
-
B.
hasCommercialInfrastructure
Indicates that an entity possesses or is equipped with facilities, systems, or structures that support commercial or business activities.
-
C.
connectsToCommercialArea
Indicates that one location has a direct link, route, or access path to a commercial area.
-
D.
isPrimaryCommercialAreaOf
Indicates that one area serves as the main center of commercial activity for another specified place or region.
-
E.
hasUrbanGrowthLimit
Indicates that a boundary or constraint is imposed on how far urban development or expansion is allowed to extend.
- F. None of above. chosen
Provenance (4 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab9e0dc8190bf579d7e89e941f4 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.