Triple
T11807128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Texas Rio Grande Valley |
E280775
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Edinburg |
E58029
|
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: Edinburg | Statement: [University of Texas Rio Grande Valley, city, Edinburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edinburg Context triple: [University of Texas Rio Grande Valley, city, Edinburg]
-
A.
Edinburg
Edinburg is a small rural town in Saratoga County, New York, known for its scenic setting near the Great Sacandaga Lake and the southern Adirondacks.
-
B.
Edinburg, Texas
chosen
Edinburg, Texas is a city in the Rio Grande Valley of South Texas that serves as the county seat of Hidalgo County and home to the University of Texas Rio Grande Valley’s main campus.
-
C.
Laredo
Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
-
D.
Laredo
Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
-
E.
Saltillo
Saltillo is the capital and largest city of the state of Coahuila in northeastern Mexico, known for its industrial economy and traditional sarape textiles.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c93a1881909b428bf3ed55bb57 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f63477e08190957dd1ef709fe93b |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:42 p.m.