Triple
T5614789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewisville Independent School District |
E147449
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Hebron, Texas |
E108879
|
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: Hebron, Texas | Statement: [Lewisville Independent School District, serves, Hebron, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hebron, Texas Context triple: [Lewisville Independent School District, serves, Hebron, Texas]
-
A.
Hebron, Texas
chosen
Hebron, Texas is a small town in the Dallas–Fort Worth metropolitan area known for its limited population, partial annexation by neighboring cities, and suburban North Texas setting.
-
B.
Hannibal, Texas
Hannibal, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
-
C.
Rosenberg, Texas
Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
-
D.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
E.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02123fa9081909086c9cce3f3e907 |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d51c12c8190911fb9a0c0d234d8 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:39 p.m.