Triple
T15938075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caught in the Game |
E386488
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Santa Ana Winds |
E774545
|
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: Santa Ana Winds | Statement: [Caught in the Game, hasPart, Santa Ana Winds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Ana Winds Context triple: [Caught in the Game, hasPart, Santa Ana Winds]
-
A.
Santa Ana winds
chosen
Santa Ana winds are strong, dry, and often hot winds that blow from inland deserts toward coastal Southern California, frequently exacerbating wildfire conditions.
-
B.
Chinook winds
Chinook winds are warm, dry downslope winds that rapidly raise temperatures and melt snow on the leeward side of mountain ranges, especially in regions like southern Alberta.
-
C.
Santa Ana
Santa Ana is a town in the Francisco Morazán Department of Honduras, located in the central region of the country near the capital, Tegucigalpa.
-
D.
Santa Ana
Santa Ana is a landlocked agricultural municipality in the province of Pampanga in the Philippines, known for its farming communities and local festivals.
-
E.
Santa Ana
Santa Ana is a suburban city in Costa Rica known for its upscale residential areas, commercial development, and proximity to the capital, San José.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ac934c8190b6178eb66023252e |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b8121881909b15bf6451d3d3a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.