Triple
T21219567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Oakland |
E522927
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Temescal |
—
|
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: Temescal | Statement: [North Oakland, hasNeighborhood, Temescal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temescal Context triple: [North Oakland, hasNeighborhood, Temescal]
-
A.
Presidio Heights
Presidio Heights is an affluent residential neighborhood in San Francisco known for its upscale homes, quiet streets, and proximity to the Presidio parklands.
-
B.
Lindavista
Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
-
C.
Temescal neighborhood
chosen
Temescal neighborhood is a vibrant, historically diverse district in North Oakland known for its trendy restaurants, boutiques, and arts scene.
-
D.
Santa Mesa
Santa Mesa is a historic district in Manila, Philippines, known for its role as a key battleground during the early stages of the Philippine–American War.
-
E.
Linda Vista
Linda Vista is a residential neighborhood in San Diego, California, known for its diverse community and proximity to major educational institutions and shopping areas.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73476d93481909c6c99dcc0b16123 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:43 p.m.