Triple
T15335268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansford County |
E366647
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Gruver, Texas
Gruver, Texas is a small rural city in the Texas Panhandle known for its agricultural economy and tight-knit community.
|
E1189860
|
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: Gruver, Texas | Statement: [Hansford County, hasSettlement, Gruver, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gruver, Texas Context triple: [Hansford County, hasSettlement, Gruver, Texas]
-
A.
Granjeno, Texas
Granjeno, Texas is a small city in Hidalgo County in the Rio Grande Valley region of South Texas, near the U.S.–Mexico border.
-
B.
Graham, Texas
Graham, Texas is a small North Texas city that serves as the county seat of Young County and a regional hub for ranching and outdoor recreation.
-
C.
Groves, Texas
Groves, Texas is a small city in Jefferson County in Southeast Texas, known as part of the industrial and petrochemical region near Port Arthur and Beaumont.
-
D.
Goodrich, Texas
Goodrich, Texas is a small rural city in East Texas known for its close-knit community and location near Lake Livingston.
-
E.
Greenville, Texas
Greenville, Texas is a small city in North Texas that serves as the county seat of Hunt County and a regional hub for commerce and industry.
- 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: Gruver, Texas Triple: [Hansford County, hasSettlement, Gruver, Texas]
Generated description
Gruver, Texas is a small rural city in the Texas Panhandle known for its agricultural economy and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gruver, Texas Target entity description: Gruver, Texas is a small rural city in the Texas Panhandle known for its agricultural economy and tight-knit community.
-
A.
Granjeno, Texas
Granjeno, Texas is a small city in Hidalgo County in the Rio Grande Valley region of South Texas, near the U.S.–Mexico border.
-
B.
Graham, Texas
Graham, Texas is a small North Texas city that serves as the county seat of Young County and a regional hub for ranching and outdoor recreation.
-
C.
Groves, Texas
Groves, Texas is a small city in Jefferson County in Southeast Texas, known as part of the industrial and petrochemical region near Port Arthur and Beaumont.
-
D.
Goodrich, Texas
Goodrich, Texas is a small rural city in East Texas known for its close-knit community and location near Lake Livingston.
-
E.
Greenville, Texas
Greenville, Texas is a small city in North Texas that serves as the county seat of Hunt County and a regional hub for commerce and industry.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0a12e081908d7d2ae7c9774f94 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0adc58881908488e3237159ffab |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1376e5081908920ecd3a4744662 |
completed | May 10, 2026, 12:28 a.m. |
Created at: April 10, 2026, 3:17 a.m.