Triple
T21170166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Metropolitan Transportation Authority |
E521668
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object | Leander, 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: Leander, Texas | Statement: [Capital Metropolitan Transportation Authority, serviceAreaIncludes, Leander, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leander, Texas Context triple: [Capital Metropolitan Transportation Authority, serviceAreaIncludes, Leander, Texas]
-
A.
Leander, Texas
chosen
Leander, Texas is a rapidly growing suburban city in Central Texas that is part of the Greater Austin metropolitan area.
-
B.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
C.
Leonard, Texas
Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
-
D.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
-
E.
Lanham, Texas
Lanham, Texas is a small unincorporated rural community located in Hamilton County in central Texas.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72712893081908e394ccc7e0cbb53 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.