Triple
T15420583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lighthouse Point |
E369363
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object | City of Santa Cruz |
E238973
|
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: City of Santa Cruz | Statement: [Lighthouse Point, governedBy, City of Santa Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Santa Cruz Context triple: [Lighthouse Point, governedBy, City of Santa Cruz]
-
A.
City of Santa Cruz
chosen
The City of Santa Cruz is a coastal California city known for its beaches, historic boardwalk amusement park, and vibrant surf and university culture.
-
B.
City of Santa Rosa
The City of Santa Rosa is a municipal government in Sonoma County, California, responsible for providing local services, administration, and public facilities to the residents of Santa Rosa.
-
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 coastal parish in the municipality of Santiago do Cacém in Portugal, known for its Atlantic beaches and seaside tourism.
-
E.
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.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebe7b1081908e6b9e6e128a8d5d |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a18c548190b8591776828c1793 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.