Triple
T13163298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas State Highway 171 |
E312779
|
entity |
| Predicate | connectsSettlement |
P8239
|
FINISHED |
| Object | Mart, Texas |
E525175
|
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: Mart, Texas | Statement: [Texas State Highway 171, connectsSettlement, Mart, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mart, Texas Context triple: [Texas State Highway 171, connectsSettlement, Mart, Texas]
-
A.
Mart, Texas
chosen
Mart, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
-
B.
Martindale, Texas
Martindale, Texas is a small rural city in Central Texas known for its historic charm and location along the San Marcos River.
-
C.
Marshall, Texas
Marshall, Texas is a small city in East Texas known as a regional cultural and educational center and for its prominence in federal patent litigation.
-
D.
La Marque, Texas
La Marque, Texas is a small city in Galveston County that functions as part of the greater Houston metropolitan area, offering a suburban community near the Gulf Coast.
-
E.
Mission, Texas
Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5da6a2081909dcc9785598e1196 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 9, 2026, 9:13 p.m.