Triple
T15335269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hansford County |
E366647
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Morse, Texas
Morse, Texas is a small rural community located in the Texas Panhandle region of the United States.
|
E1312248
|
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: Morse, Texas | Statement: [Hansford County, hasSettlement, Morse, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morse, Texas Context triple: [Hansford County, hasSettlement, Morse, Texas]
-
A.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
B.
Murphy, Texas
Murphy, Texas is a suburban city in Collin County within the Dallas–Fort Worth metropolitan area, known for its residential communities and family-oriented environment.
-
C.
Muleshoe, Texas
Muleshoe, Texas is a small rural city in Bailey County known for its agricultural economy and its location near the New Mexico border in the Texas Panhandle.
-
D.
Moody, Texas
Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
-
E.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
- 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: Morse, Texas Triple: [Hansford County, hasSettlement, Morse, Texas]
Generated description
Morse, Texas is a small rural community located in the Texas Panhandle region of the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morse, Texas Target entity description: Morse, Texas is a small rural community located in the Texas Panhandle region of the United States.
-
A.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
B.
Murphy, Texas
Murphy, Texas is a suburban city in Collin County within the Dallas–Fort Worth metropolitan area, known for its residential communities and family-oriented environment.
-
C.
Muleshoe, Texas
Muleshoe, Texas is a small rural city in Bailey County known for its agricultural economy and its location near the New Mexico border in the Texas Panhandle.
-
D.
Moody, Texas
Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
-
E.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
- 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_6a039ef5147081908c7cfce314e120b1 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fb57d608190a0310a4e2c83852a |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a07a59f88190a7ddd5b612d1575a |
completed | May 12, 2026, 9:49 p.m. |
Created at: April 10, 2026, 3:17 a.m.