Triple
T3899782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont station |
E90456
|
entity |
| Predicate | locatedInDirectionOf |
P29992
|
FINISHED |
| Object | southeastern San Francisco Bay Area |
—
|
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 San Francisco Bay Area | Statement: [Fremont station, locatedInDirectionOf, southeastern San Francisco Bay Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInDirectionOf Context triple: [Fremont station, locatedInDirectionOf, southeastern San Francisco Bay Area]
-
A.
isInDirectionOf
chosen
Indicates that one entity is oriented or positioned toward the direction in which another entity lies.
-
B.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
C.
approachDirection
Indicates the direction or bearing from which one entity moves closer to or advances toward another entity.
-
D.
directedTo
Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
-
E.
lapDirection
Indicates the direction or orientation in which a lapping or overlapping action occurs between entities.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.