Triple
T5920064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haight-Ashbury |
E131677
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Cole Valley |
E358761
|
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: Cole Valley | Statement: [Haight-Ashbury, adjacentTo, Cole Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cole Valley Context triple: [Haight-Ashbury, adjacentTo, Cole Valley]
-
A.
Cole Valley
chosen
Cole Valley is a small, picturesque residential neighborhood in San Francisco known for its tree-lined streets, Victorian homes, and proximity to Golden Gate Park.
-
B.
Lanfair Valley
Lanfair Valley is a broad, arid desert valley in the eastern Mojave Desert of California, known for its remote landscape and surrounding mountain views.
-
C.
Son Valley
Son Valley is a river valley in central India formed by the Son River, known for its fertile plains and agricultural significance.
-
D.
Loue Valley
Loue Valley is a picturesque river valley in eastern France known for its dramatic limestone cliffs, lush landscapes, and association with the painter Gustave Courbet.
-
E.
Caterham Valley
Caterham Valley is a district and commercial center within the town of Caterham in Surrey, England, known for its shopping area and railway station.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038019ea081908e652d74ff23f076 |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.