Triple
T18070094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falls County |
E432401
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Lott, Texas |
—
|
NE NERFINISHED |
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: Lott, Texas | Statement: [Falls County, containsSettlement, Lott, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lott, Texas Context triple: [Falls County, containsSettlement, Lott, Texas]
-
A.
Lott, Texas
chosen
Lott, Texas is a small rural city in central Texas known for its agricultural surroundings and location within Falls County.
-
B.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
C.
Lavon, Texas
Lavon, Texas is a small city in Collin County that forms part of the Dallas–Fort Worth metropolitan area and lies near Lake Lavon in northeastern Texas.
-
D.
Tolar, Texas
Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
-
E.
Tatum, Texas
Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cced29fc81908e87b4f1990fa0d8 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.