Triple
T3812303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Beverly Hills |
E93163
|
entity |
| Predicate | isWealthyArea |
P44558
|
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 Beverly Hills, isWealthyArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWealthyArea Context triple: [City of Beverly Hills, isWealthyArea, true]
-
A.
isAffluentArea
chosen
Indicates that a given area is characterized by high wealth, income levels, or overall economic prosperity.
-
B.
hasFinancialDistrict
Indicates that a place or city contains a designated area primarily devoted to financial and banking activities.
-
C.
isUrbanNeighborhood
Indicates that a given area functions as a neighborhood located within an urban or city environment.
-
D.
isUrbanDistrict
Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
-
E.
richIn
Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:16 p.m.