Triple
T15592292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamb County |
E374774
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Parmer County |
E390030
|
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: Parmer County | Statement: [Lamb County, borderedBy, Parmer County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parmer County Context triple: [Lamb County, borderedBy, Parmer County]
-
A.
Parmer County
chosen
Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
-
B.
Waller County
Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
-
C.
Cottle County
Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
-
D.
Donley County
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
-
E.
Cleburne County
Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001799fbac8190b75a48a8c63e3381 |
completed | May 10, 2026, 5:28 a.m. |
Created at: April 10, 2026, 4:12 a.m.