Triple
T5332876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M Ocean View |
E123350
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Lake Merced |
E220303
|
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: Lake Merced | Statement: [M Ocean View, passesNear, Lake Merced]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Merced Context triple: [M Ocean View, passesNear, Lake Merced]
-
A.
Lake Merced
chosen
Lake Merced is a freshwater lake and surrounding parkland in southwestern San Francisco, known for recreation, wildlife habitat, and nearby residential and educational areas.
-
B.
Briones Reservoir
Briones Reservoir is a man-made lake in Contra Costa County, California, used for water supply and recreational activities such as rowing.
-
C.
Lake Merritt
Lake Merritt is a large tidal lagoon and urban park centerpiece in Oakland, California, known for its wildlife refuge, walking paths, and surrounding city neighborhoods.
-
D.
Hollywood Reservoir
Hollywood Reservoir is a man-made lake in the Hollywood Hills of Los Angeles, known for its scenic walking paths and iconic views of the Hollywood Sign.
-
E.
Laguna
Laguna is the internal codename Apple used for its early Macintosh Portable computer model.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ac8e10819088b6a9e02d927044 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18baeca081909acc11d0c6c89f6d |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.