Triple
T7083655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill County, Texas |
E165018
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Hillsboro, Texas |
E264209
|
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: Hillsboro, Texas | Statement: [Hill County, Texas, largestCity, Hillsboro, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hillsboro, Texas Context triple: [Hill County, Texas, largestCity, Hillsboro, Texas]
-
A.
Forest Hill, Texas
Forest Hill, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area, located just southeast of downtown Fort Worth.
-
B.
Hillsboro, Texas, United States
chosen
Hillsboro, Texas, United States is a small North Texas city best known as the birthplace of Olympic decathlon champion Rafer Johnson.
-
C.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
D.
Richland Hills, Texas
Richland Hills, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known primarily as a residential community.
-
E.
Hainesville, Texas
Hainesville, Texas is a small unincorporated rural community located in Wood County in East Texas.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5102be08190bbde790bfa8fe9e2 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8f11a48190a2a1f6ad99dc04b9 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:40 p.m.