Triple
T2375964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 3rd congressional district |
E46198
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
Hunt County
Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
|
E408957
|
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: Hunt County | Statement: [Texas's 3rd congressional district, containsCounty, Hunt County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunt County Context triple: [Texas's 3rd congressional district, containsCounty, Hunt County]
-
A.
Gray County
Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
-
B.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
C.
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.
-
D.
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
E.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
- 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: Hunt County Triple: [Texas's 3rd congressional district, containsCounty, Hunt County]
Generated description
Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hunt County Target entity description: Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
-
A.
Gray County
Gray County is a rural county in the Texas Panhandle best known for its oil industry and county seat, Pampa.
-
B.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
C.
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.
-
D.
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
E.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc794eee481908163148e1e666d9b |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b555fb4da0819097ee412c9f745afa |
completed | March 14, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69b55718acb88190a491e9654c1f1b7f |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55785a6b4819083737f26eb5db217 |
completed | March 14, 2026, 12:41 p.m. |
Created at: March 4, 2026, 7:57 p.m.