Triple
T10761824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalhart |
E253846
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | Hartley County |
E380046
|
NE FINISHED |
How this triple was built (2 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: Hartley County | Statement: [Dalhart, namedFor, Hartley County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartley County Context triple: [Dalhart, namedFor, Hartley County]
-
A.
Hartley County
chosen
Hartley County is a sparsely populated rural county in the northwestern Texas Panhandle known for its ranching and agricultural economy.
-
B.
Terry County
Terry County is a rural county in western Texas known for its agriculture, particularly cotton farming, and its location on the South Plains region.
-
C.
Mayes County
Mayes County is a county in northeastern Oklahoma known for its mix of small towns, agricultural areas, and recreational lakes.
-
D.
Meade County
Meade County is a county in western South Dakota known for its paleontological sites and proximity to the Black Hills region.
-
E.
Meade County
Meade County is a county-level jurisdiction in the U.S. state of Kentucky, with Brandenburg serving as its county seat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a230ac8190920439076aaeb91e |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1548affbc8190bbca099f8c8d4910 |
completed | April 16, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:16 p.m.