Triple
T9938204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southlake, Texas |
E194007
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Keller, Texas |
E202942
|
NE 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: Keller, Texas | Statement: [Southlake, Texas, borderedBy, Keller, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keller, Texas Context triple: [Southlake, Texas, borderedBy, Keller, Texas]
-
A.
Keller, Texas
chosen
Keller, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods, quality schools, and extensive parks and trail system.
-
B.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
-
C.
Kyle, Texas
Kyle, Texas is a rapidly growing small city in Central Texas located between Austin and San Marcos, known for its suburban character and proximity to major highways.
-
D.
Killeen, Texas
Killeen, Texas is a central Texas city best known as the civilian community adjacent to the large U.S. Army installation Fort Cavazos (formerly Fort Hood).
-
E.
Kurten, Texas
Kurten, Texas is a small rural town in east-central Texas that is part of the Bryan–College Station metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228f259b081909ce8a90ec1adad0d |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.