Triple
T5191300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler metropolitan area |
E117159
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Troup, Texas
Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
|
E567862
|
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: Troup, Texas | Statement: [Tyler metropolitan area, containsCity, Troup, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troup, Texas Context triple: [Tyler metropolitan area, containsCity, Troup, Texas]
-
A.
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.
-
B.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
C.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
D.
Trinidad, Texas
Trinidad, Texas is a small rural city in East Texas known for its location near the Trinity River and Cedar Creek Reservoir.
-
E.
Mount Pleasant, Texas
Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex area.
- 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: Troup, Texas Triple: [Tyler metropolitan area, containsCity, Troup, Texas]
Generated description
Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troup, Texas Target entity description: Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
-
A.
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.
-
B.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
C.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
D.
Trinidad, Texas
Trinidad, Texas is a small rural city in East Texas known for its location near the Trinity River and Cedar Creek Reservoir.
-
E.
Mount Pleasant, Texas
Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex area.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79ed61c88190bda492f6489f44de |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124d359ec819086420b7e00b8d630 |
completed | March 23, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c12605b8148190967526967a8a1231 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126c641448190a826c213e8ab05af |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 20, 2026, 1:46 p.m.