Triple
T2300567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
|
E386537
|
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: Reeves County | Statement: [Texas Panhandle, hasCounty, Reeves County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reeves County Context triple: [Texas Panhandle, hasCounty, Reeves County]
-
A.
Gillespie County
Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
-
B.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
C.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
-
D.
Dallam County
Dallam County is a sparsely populated rural county in the far northwestern corner of the Texas Panhandle, known for its agricultural economy and wide-open High Plains landscape.
-
E.
Lamb County
Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
- 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: Reeves County Triple: [Texas Panhandle, hasCounty, Reeves County]
Generated description
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reeves County Target entity description: Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
A.
Gillespie County
Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
-
B.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
C.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
-
D.
Dallam County
Dallam County is a sparsely populated rural county in the far northwestern corner of the Texas Panhandle, known for its agricultural economy and wide-open High Plains landscape.
-
E.
Lamb County
Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5edc1348190a4d84606b1310711 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4c13494819095821f44916329c9 |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e88d88248190a4061327296818c7 |
completed | March 14, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e8f38ba88190944236b2e8ae743e |
completed | March 14, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:49 p.m.