Triple
T7734102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seacliff State Beach |
E175336
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Santa Cruz, California |
E75429
|
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 Cruz, California | Statement: [Seacliff State Beach, nearbyCity, Santa Cruz, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Cruz, California Context triple: [Seacliff State Beach, nearbyCity, Santa Cruz, California]
-
A.
Santa Cruz, California
chosen
Santa Cruz, California is a coastal city in Northern California known for its surf culture, beach boardwalk, and progressive university community.
-
B.
Santa Cruz
Santa Cruz is a notable wine-producing city in central Chile’s Colchagua Valley, recognized for its vineyards, tourism, and colonial charm.
-
C.
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.
-
D.
Santa Cruz
Santa Cruz is a municipality in the Brazilian state of Rio Grande do Norte, known for its religious tourism and the large statue of Santa Rita de Cássia.
-
E.
Monterey
Monterey is a small rural town in Berkshire County, western Massachusetts, known for its scenic landscapes, forests, and lakes.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70339c4b481909a56ae13f501e794 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c922ac9c108190a9f00381d951b20d |
completed | March 29, 2026, 1:01 p.m. |
Created at: March 27, 2026, 4:06 p.m.