Triple
T6957002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garner Field Airport |
E161268
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Uvalde |
E19990
|
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: Uvalde | Statement: [Garner Field Airport, servesCity, Uvalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uvalde Context triple: [Garner Field Airport, servesCity, Uvalde]
-
A.
Uvalde, Texas
chosen
Uvalde, Texas is a small city in South Texas known historically as a ranching and agricultural center and as the longtime home of U.S. Vice President John Nance Garner.
-
B.
Waco, Texas
Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
-
C.
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.
-
D.
Del Rio, Texas
Del Rio, Texas is a border city in southwest Texas along the Rio Grande, known as a regional hub for trade, law enforcement, and federal government activity.
-
E.
Álamos
Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
- 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_69c76a00ded081908db2a4d539e4e502 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:29 p.m.