Triple
T22967833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasatiempo Golf Club |
E571097
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Santa Cruz |
—
|
NE NERFINISHED |
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 Cruz | Statement: [Pasatiempo Golf Club, nearbyCity, Santa Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Cruz Context triple: [Pasatiempo Golf Club, nearbyCity, Santa Cruz]
-
A.
Santa Cruz
Santa Cruz is a notable wine-producing city in central Chile’s Colchagua Valley, recognized for its vineyards, tourism, and colonial charm.
-
B.
Santa Cruz
Saint Croix is the largest of the U.S. Virgin Islands in the Caribbean, known for its colonial history, beaches, and coral reefs.
-
C.
Santa Cruz
Santa Cruz is a coastal municipality in the province of Davao del Sur in the Philippines, known for its mix of agricultural lands and growing eco-tourism attractions.
-
D.
Santa Cruz
chosen
Santa Cruz is a coastal city in central California known for its beaches, boardwalk amusement park, and the University of California, Santa Cruz campus.
-
E.
Santa Cruz
Santa Cruz was the internal codename for Oculus’s standalone virtual reality headset that later became known as the Oculus Quest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182301f388190bb39e3d5b356dc65 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.