Triple
T2802933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaves County |
E53186
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Guadalupe County |
E59141
|
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: Guadalupe County | Statement: [Chaves County, borders, Guadalupe County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadalupe County Context triple: [Chaves County, borders, Guadalupe County]
-
A.
Guadalupe County
Guadalupe County is a county in south-central Texas that includes rapidly growing suburban and rural communities east of San Antonio.
-
B.
Guadalupe County
chosen
Guadalupe County is a rural county in eastern New Mexico known for its historic Route 66 towns, ranching landscapes, and Southwestern desert scenery.
-
C.
Lamb County
Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
-
D.
Garza County
Garza County is a rural county in northwestern Texas known for its ranching, agriculture, and location on the edge of the Llano Estacado.
-
E.
Bandera County
Bandera County is a rural county in south-central Texas known for its scenic Hill Country landscapes and its reputation as the “Cowboy Capital of the World.”
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde12b33481908b276760a922db9c |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4881323dc81908e3e42ce1d0f8a0d |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 6, 2026, 9:59 p.m.