Triple
T7447199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrance |
E171912
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Torrance Beach |
E490111
|
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: Torrance Beach | Statement: [Torrance, hasBeach, Torrance Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrance Beach Context triple: [Torrance, hasBeach, Torrance Beach]
-
A.
Torrance Beach
chosen
Torrance Beach is a popular sandy shoreline and recreational coastal area in the South Bay region of Los Angeles County, California.
-
B.
Redondo Beach
Redondo Beach is a coastal city in Los Angeles County, California, known for its sandy beaches, pier, and residential neighborhoods along Santa Monica Bay.
-
C.
Oceanside Harbor Beach
Oceanside Harbor Beach is a popular sandy beach in Oceanside, California, known for its calm waters, marina views, and family-friendly recreational activities.
-
D.
Oceanside City Beach
Oceanside City Beach is a popular Southern California coastal beach known for its wide sandy shoreline, surf-friendly waves, and proximity to the historic Oceanside Pier.
-
E.
Hermosa Beach
Hermosa Beach is a coastal city in Los Angeles County known for its sandy beaches, surf culture, and vibrant beachfront community.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38808fc8190b27a2b455155cb5b |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827abf3288190b146522af7fcfaa1 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:14 p.m.