Triple
T9760309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candlestick Point |
E236651
|
entity |
| Predicate | shorelinePosition |
P16235
|
FINISHED |
| Object | southeastern shoreline of San Francisco Bay |
—
|
LITERAL 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: southeastern shoreline of San Francisco Bay | Statement: [Candlestick Point, shorelinePosition, southeastern shoreline of San Francisco Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shorelinePosition Context triple: [Candlestick Point, shorelinePosition, southeastern shoreline of San Francisco Bay]
-
A.
shorelineIncludes
Indicates that a shoreline spatially contains or encompasses a specified coastal feature or segment.
-
B.
shorelineLength
Indicates the total measured extent of a land area’s boundary where it meets a body of water.
-
C.
shorelineCharacteristic
Indicates the specific physical or environmental qualities that describe the nature or condition of a shoreline in relation to another entity.
-
D.
shorelineDevelopment
Indicates the extent to which human-made structures or modifications have been built along a shoreline.
-
E.
positionRelativeToCoast
chosen
Indicates the spatial relationship of something to a coastline, such as its distance or orientation relative to the coast.
- F. None of above.
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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.