Triple
T6957673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiley College |
E161286
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Marshall, Texas |
E486938
|
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: Marshall, Texas | Statement: [Wiley College, locatedIn, Marshall, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall, Texas Context triple: [Wiley College, locatedIn, 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.
Mart, Texas
Mart, Texas is a small rural city in Central Texas known for its tight-knit community and agricultural surroundings.
-
C.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
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.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dad0e52081908b524dc6a66bab01 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8fa179c008190a6bba55cb62b7fe8 |
completed | March 29, 2026, 10:08 a.m. |
Created at: March 27, 2026, 2:29 p.m.