Triple
T8363805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Loma Lighthouse |
E197072
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Point Loma |
E179555
|
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: Point Loma | Statement: [Point Loma Lighthouse, locatedIn, Point Loma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Point Loma Context triple: [Point Loma Lighthouse, locatedIn, Point Loma]
-
A.
Point Loma peninsula
Point Loma peninsula is a prominent coastal landform in San Diego, California, known for its historic lighthouse, scenic cliffs, and strategic military and naval installations.
-
B.
Mission Bay
Mission Bay is a major University of California, San Francisco campus and research hub in San Francisco known for its focus on biomedical sciences and biotechnology.
-
C.
Mission Bay
Mission Bay is a coastal recreational area in San Diego known for its large aquatic park, beaches, and water sports.
-
D.
Point Loma, San Diego, California
chosen
Point Loma is a hilly coastal peninsula in San Diego known for its naval installations, historic lighthouse, and panoramic views of the Pacific Ocean and San Diego Bay.
-
E.
Oceanside
Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808a67f88190849152102bfeb574 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc78497cc8190a88bb5934f31e1f7 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 6 p.m.