Triple
T19638305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 80 (Texas) |
E471460
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Marshall, 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: Marshall, Texas | Statement: [U.S. Route 80 (Texas), passesThrough, Marshall, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall, Texas Context triple: [U.S. Route 80 (Texas), passesThrough, Marshall, Texas]
-
A.
Marshall, Texas
chosen
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.
-
B.
Marion, Texas
Marion, Texas is a small rural town in Guadalupe County within the San Antonio metropolitan area.
-
C.
Mart, Texas
Mart, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
-
D.
Martindale, Texas
Martindale, Texas is a small rural city in Central Texas known for its historic charm and location along the San Marcos River.
-
E.
Mabank, Texas
Mabank, Texas is a small East Texas town near Cedar Creek Lake known for its rural character and proximity to recreational lake activities.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641090c408190b2adb8a6abf1b4c9 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.