Triple
T21343749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frio County, Texas |
E526271
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Bigfoot, Texas
Bigfoot, Texas is a small unincorporated rural community in Frio County known for its historic ties to early Texas frontier life.
|
E1479305
|
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: Bigfoot, Texas | Statement: [Frio County, Texas, hasCommunity, Bigfoot, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigfoot, Texas Context triple: [Frio County, Texas, hasCommunity, Bigfoot, Texas]
-
A.
Leakey, Texas
Leakey, Texas is a small town in the Texas Hill Country known as a gateway to outdoor recreation along the Frio River.
-
B.
Tioga, Texas
Tioga, Texas is a small rural town in north-central Texas known as the birthplace of country music legend Gene Autry.
-
C.
Rosebud, Texas
Rosebud, Texas is a small rural city in central Texas known for its agricultural community and historic small-town character.
-
D.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
E.
Teague, Texas
Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
- 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: Bigfoot, Texas Triple: [Frio County, Texas, hasCommunity, Bigfoot, Texas]
Generated description
Bigfoot, Texas is a small unincorporated rural community in Frio County known for its historic ties to early Texas frontier life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bigfoot, Texas Target entity description: Bigfoot, Texas is a small unincorporated rural community in Frio County known for its historic ties to early Texas frontier life.
-
A.
Leakey, Texas
Leakey, Texas is a small town in the Texas Hill Country known as a gateway to outdoor recreation along the Frio River.
-
B.
Tioga, Texas
Tioga, Texas is a small rural town in north-central Texas known as the birthplace of country music legend Gene Autry.
-
C.
Rosebud, Texas
Rosebud, Texas is a small rural city in central Texas known for its agricultural community and historic small-town character.
-
D.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
E.
Teague, Texas
Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a8515bc48190b79f80e505550cd5 |
completed | April 22, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5c8c9808190810982de97320df3 |
completed | May 17, 2026, 11:26 a.m. |
| NEDg | Description generation | batch_6a09a6848c1c8190992ae7cdfeabdcf8 |
completed | May 17, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09aae23f2c81908f08d290277e22f9 |
completed | May 17, 2026, 11:47 a.m. |
Created at: April 16, 2026, 4:44 p.m.