Triple
T24700277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaufman, Texas |
E611715
|
entity |
| Predicate | hasUrbanCoreProximity |
P44123
|
FINISHED |
| Object | Dallas–Fort Worth urban core |
—
|
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: Dallas–Fort Worth urban core | Statement: [Kaufman, Texas, hasUrbanCoreProximity, Dallas–Fort Worth urban core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanCoreProximity Context triple: [Kaufman, Texas, hasUrbanCoreProximity, Dallas–Fort Worth urban core]
-
A.
hasUrbanProximity
chosen
Indicates that one entity is located near or within easy access to an urban area associated with another entity.
-
B.
hasUrbanAreaApprox
Indicates an approximate measure or estimate of the size or extent of an entity’s urban area.
-
C.
isUrbanizedAround
Indicates that an area or region has developed urban characteristics or infrastructure surrounding a particular location or feature.
-
D.
connectsToUrbanCenter
Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
-
E.
isUrbanAxisNear
Indicates that one urban axis (such as a main street or corridor) is located in close spatial proximity to another reference feature or axis within an urban area.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:22 a.m.