Triple
T3628069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLennan County |
E76887
|
entity |
| Predicate | bordersOn |
P224
|
FINISHED |
| Object | Hill County |
E405550
|
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: Hill County | Statement: [McLennan County, bordersOn, Hill County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hill County Context triple: [McLennan County, bordersOn, Hill County]
-
A.
Hill County
chosen
Hill County is a rural county in central Texas known for its small towns, agricultural economy, and location between Waco and the Dallas–Fort Worth area.
-
B.
Logan County
Logan County is a largely rural county in northeastern Colorado known for its agricultural economy and small communities such as its county seat, Sterling.
-
C.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
D.
Lynn County
Lynn County is a rural county in the U.S. state of Texas, located south of Lubbock on the Southern High Plains and known for its agriculture-based economy.
-
E.
Llano County
Llano County is a rural county in central Texas known for its scenic Hill Country landscapes, granite outcrops, and outdoor recreation around lakes and rivers.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2ddccc881909ae13dca3dd8a11d |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6e3fbbc81908594bb7c9b02f873 |
completed | March 14, 2026, 8:36 p.m. |
Created at: March 8, 2026, 3:23 p.m.