Triple
T16535690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fisher County |
E401683
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object |
Rotan, Texas
Rotan, Texas is a small rural city in West Texas that serves as the primary population and economic center of Fisher County.
|
E1217858
|
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: Rotan, Texas | Statement: [Fisher County, largestCity, Rotan, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rotan, Texas Context triple: [Fisher County, largestCity, Rotan, Texas]
-
A.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
B.
Robstown, Texas
Robstown, Texas is a small city in Nueces County that functions as part of the greater Corpus Christi urban and economic region.
-
C.
Tolar, Texas
Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
-
D.
Robinson, Texas
Robinson, Texas is a small city in Central Texas that functions as a suburban community of Waco within McLennan County.
-
E.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
- 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: Rotan, Texas Triple: [Fisher County, largestCity, Rotan, Texas]
Generated description
Rotan, Texas is a small rural city in West Texas that serves as the primary population and economic center of Fisher County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rotan, Texas Target entity description: Rotan, Texas is a small rural city in West Texas that serves as the primary population and economic center of Fisher County.
-
A.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
B.
Robstown, Texas
Robstown, Texas is a small city in Nueces County that functions as part of the greater Corpus Christi urban and economic region.
-
C.
Tolar, Texas
Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
-
D.
Robinson, Texas
Robinson, Texas is a small city in Central Texas that functions as a suburban community of Waco within McLennan County.
-
E.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060eca9fc81908f376cd2f7219bcd |
completed | May 10, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00622f44ec8190a7d66c7882ae28b2 |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.