Triple
T10207430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reseda |
E242235
|
entity |
| Predicate | locatedNorthOf |
P305
|
FINISHED |
| Object | Tarzana |
E317979
|
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: Tarzana | Statement: [Reseda, locatedNorthOf, Tarzana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarzana Context triple: [Reseda, locatedNorthOf, Tarzana]
-
A.
Tarzana
chosen
Tarzana is a residential neighborhood in the San Fernando Valley region of Los Angeles, California, named after the fictional character Tarzan and known for its suburban character and proximity to the Santa Monica Mountains.
-
B.
Glendale
Glendale is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
C.
Glendale
Glendale is a city in Arizona known for hosting major sporting and entertainment events, including NFL games and the Super Bowl.
-
D.
Glendale
Glendale is a city in Los Angeles County, California, known for its diverse communities, shopping districts like the Americana at Brand, and proximity to both urban Los Angeles and the Verdugo Mountains.
-
E.
Glendale
Glendale is a primarily residential neighborhood in the central-southern part of Queens, New York City, known for its quiet streets, local shops, and proximity to major cemeteries and parks.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f8e2b881909c51f8210f09cd4f |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6e73a2881908563e9e6a02df944 |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 10:56 a.m.