Triple
T7194861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Luis Ribas Dominicci Airport |
E168587
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | SIG |
E649472
|
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: SIG | Statement: [Fernando Luis Ribas Dominicci Airport, FAAcode, SIG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIG Context triple: [Fernando Luis Ribas Dominicci Airport, FAAcode, SIG]
-
A.
SIG
SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
-
B.
SIG
SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
-
C.
SIG
chosen
SIG is the IATA airport code for Fernando Luis Ribas Dominicci Airport, a regional airport serving San Juan, Puerto Rico.
-
D.
Sigma
Sigma is a Greek letter commonly used in mathematics, science, and engineering to denote summation, standard deviation, and various other concepts.
-
E.
Sigma
Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e9050164819081fd6a11d10f9833 |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbe7d42c8190915fd0713523cbb0 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:51 p.m.