Triple
T20021657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochran County, Texas |
E494874
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Morton, 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: Morton, Texas | Statement: [Cochran County, Texas, largestCity, Morton, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morton, Texas Context triple: [Cochran County, Texas, largestCity, Morton, Texas]
-
A.
Morton, Texas
chosen
Morton, Texas is a small West Texas city that serves as the administrative and economic hub of Cochran County.
-
B.
Throckmorton, Texas
Throckmorton, Texas is a small rural town in north-central Texas that serves as the county seat of Throckmorton County.
-
C.
Thornton, Texas
Thornton, Texas is a small rural town in central Texas known for its close-knit community and agricultural surroundings.
-
D.
Morse, Texas
Morse, Texas is a small rural community located in the Texas Panhandle region of the United States.
-
E.
Moody, Texas
Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623fe1988190a1c09d392d866dc8 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:35 p.m.