Triple
T2481581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunt County, Texas |
E55828
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Campbell, Texas
Campbell, Texas is a small rural city in northeastern Texas known for its close-knit community and agricultural surroundings.
|
E419092
|
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: Campbell, Texas | Statement: [Hunt County, Texas, containsTown, Campbell, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campbell, Texas Context triple: [Hunt County, Texas, containsTown, Campbell, Texas]
-
A.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
B.
Caddo Mills, Texas
Caddo Mills, Texas is a small rural city in North Texas known for its close-knit community and proximity to the Dallas–Fort Worth metropolitan area.
-
C.
Crandall, Texas
Crandall, Texas is a small city in North Texas that serves as a residential community within the Dallas–Fort Worth metropolitan area.
-
D.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
-
E.
Crowley, Texas
Crowley, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and family-oriented atmosphere.
- 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: Campbell, Texas Triple: [Hunt County, Texas, containsTown, Campbell, Texas]
Generated description
Campbell, Texas is a small rural city in northeastern Texas known for its close-knit community and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campbell, Texas Target entity description: Campbell, Texas is a small rural city in northeastern Texas known for its close-knit community and agricultural surroundings.
-
A.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
B.
Caddo Mills, Texas
Caddo Mills, Texas is a small rural city in North Texas known for its close-knit community and proximity to the Dallas–Fort Worth metropolitan area.
-
C.
Crandall, Texas
Crandall, Texas is a small city in North Texas that serves as a residential community within the Dallas–Fort Worth metropolitan area.
-
D.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
-
E.
Crowley, Texas
Crowley, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and family-oriented atmosphere.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd161bf3c8190834502968180e9cf |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589aa20688190a74a65b0563c3938 |
completed | March 14, 2026, 4:15 p.m. |
| NEDg | Description generation | batch_69b58aa95428819085048691c77e2aea |
completed | March 14, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b34c4e881909fd44fbe8acedda4 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 6, 2026, 9:45 p.m.