Triple
T2641039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Barbara Municipal Airport |
E62865
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Goleta |
E164416
|
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: Goleta | Statement: [Santa Barbara Municipal Airport, serves, Goleta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goleta Context triple: [Santa Barbara Municipal Airport, serves, Goleta]
-
A.
Goleta
chosen
Goleta is a coastal city in Southern California known for its proximity to the University of California, Santa Barbara, and its beaches and agricultural history.
-
B.
Cayucos
Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
-
C.
Solana Beach
Solana Beach is a small coastal city in Southern California known for its beaches, arts scene, and relaxed seaside atmosphere.
-
D.
Morro Bay
Morro Bay is a small coastal city in San Luis Obispo County, California, known for its natural harbor, fishing industry, and the prominent volcanic plug Morro Rock at its entrance.
-
E.
Rosarito
Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fc8ee881908a9f6820d8934a62 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bd689481908568d35baac1e065 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.