Triple
T13462841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uvalde Municipal Airport |
E311414
|
entity |
| Predicate | FAAIdentifier |
P420
|
FINISHED |
| Object | UVA |
E631190
|
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: UVA | Statement: [Uvalde Municipal Airport, FAAIdentifier, UVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UVA Context triple: [Uvalde Municipal Airport, FAAIdentifier, UVA]
-
A.
UVA
UVA is the University of Virginia, a major public research university in Charlottesville known for its strong academics and NCAA Division I athletic programs.
-
B.
UVA
chosen
UVA is the three-letter IATA airport code assigned to Garner Field Airport in Uvalde, Texas.
-
C.
UVa
UVa is the commonly used abbreviation for the historic Spanish public institution the University of Valladolid.
-
D.
UVM
UVM is a public research university in Burlington, Vermont, known for its strong programs in environmental studies, agriculture, and the liberal arts.
-
E.
UCA
UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746282318819090e47c324807dc1e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.