Triple
T11025021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pecos County |
E260595
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Crockett County
Crockett County is a sparsely populated county in western Texas known for its ranching lands and the town of Ozona, its county seat.
|
E902383
|
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: Crockett County | Statement: [Pecos County, borders, Crockett County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crockett County Context triple: [Pecos County, borders, Crockett County]
-
A.
Callaway County
Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
-
B.
Teller County
Teller County is a mountainous county in central Colorado known for its historic gold mining communities, including the city of Cripple Creek.
-
C.
Moody County
Moody County is a rural county in eastern South Dakota known for its agricultural landscape and the city of Flandreau as its county seat.
-
D.
Yoakum County
Yoakum County is a rural county in western Texas known for its agriculture and oil production.
-
E.
Collingsworth County
Collingsworth County is a rural county in the eastern Texas Panhandle known for its agricultural economy and small-town communities.
- 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: Crockett County Triple: [Pecos County, borders, Crockett County]
Generated description
Crockett County is a sparsely populated county in western Texas known for its ranching lands and the town of Ozona, its county seat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crockett County Target entity description: Crockett County is a sparsely populated county in western Texas known for its ranching lands and the town of Ozona, its county seat.
-
A.
Callaway County
Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
-
B.
Teller County
Teller County is a mountainous county in central Colorado known for its historic gold mining communities, including the city of Cripple Creek.
-
C.
Moody County
Moody County is a rural county in eastern South Dakota known for its agricultural landscape and the city of Flandreau as its county seat.
-
D.
Yoakum County
Yoakum County is a rural county in western Texas known for its agriculture and oil production.
-
E.
Collingsworth County
Collingsworth County is a rural county in the eastern Texas Panhandle known for its agricultural economy and small-town communities.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c828b7848190be34a6ba1550d3f1 |
completed | April 18, 2026, 6:06 p.m. |
| NEDg | Description generation | batch_69e3ca36528081908dd0db5063e90b3b |
completed | April 18, 2026, 6:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf08cf108190966b4abd0514a6ea |
completed | April 18, 2026, 6:35 p.m. |
Created at: April 8, 2026, 9:25 p.m.