Triple
T11503698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Golf, Florida |
E272725
|
entity |
| Predicate | isWealthyAreaWithinCounty |
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: [Village of Golf, Florida, isWealthyAreaWithinCounty, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWealthyAreaWithinCounty Context triple: [Village of Golf, Florida, isWealthyAreaWithinCounty, true]
-
A.
isAffluentArea
chosen
Indicates that a given area is characterized by high wealth, income levels, or overall economic prosperity.
-
B.
isWealthy
Indicates that an entity possesses a high level of financial resources or assets relative to a given standard.
-
C.
isInCountySeatMetroArea
Indicates that an entity is located within the metropolitan area of a county seat.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.