Triple
T1178969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancaster, Texas |
E25091
|
entity |
| Predicate | neighboringCity |
P988
|
FINISHED |
| Object |
Hutchins, Texas
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
|
E302076
|
NE FINISHED |
How this triple was built (4 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: Hutchins, Texas | Statement: [Lancaster, Texas, neighboringCity, Hutchins, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hutchins, Texas Context triple: [Lancaster, Texas, neighboringCity, Hutchins, Texas]
-
A.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
B.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
C.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
D.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
-
E.
Heath, Texas
Heath, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential communities and proximity to Lake Ray Hubbard.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hutchins, Texas Triple: [Lancaster, Texas, neighboringCity, Hutchins, Texas]
Generated description
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hutchins, Texas Target entity description: Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
-
A.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
B.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
C.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
D.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
-
E.
Heath, Texas
Heath, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential communities and proximity to Lake Ray Hubbard.
- F. None of above. chosen
Provenance (5 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd1226fc819083d526ecd22af8ef |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce6b95608190b4c15922cc3dd9f2 |
completed | March 10, 2026, 7:55 a.m. |
| NEDg | Description generation | batch_69afcfc1128c8190b043a761833a3639 |
completed | March 10, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd0219b34819095bc98ba28ca97f5 |
completed | March 10, 2026, 8:02 a.m. |
Created at: March 1, 2026, 7:45 p.m.