Triple
T19425600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Vallarta–San Francisco–Seattle |
E485971
|
entity |
| Predicate | hasTypicalDirection |
P30196
|
FINISHED |
| Object | south-to-north |
—
|
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: south-to-north | Statement: [Puerto Vallarta–San Francisco–Seattle, hasTypicalDirection, south-to-north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalDirection Context triple: [Puerto Vallarta–San Francisco–Seattle, hasTypicalDirection, south-to-north]
-
A.
hasDirectionType
chosen
Indicates that something possesses or is associated with a specific type or category of direction.
-
B.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
C.
isDirection
Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
-
D.
hasDirectionInName
Indicates that the entity’s name explicitly contains a directional term (e.g., north, south, east, west, or similar).
-
E.
hasDirectionVariant
Indicates that one entity is a directional variant or orientation-specific form of another entity.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63218772c8190a48b6cb01bd12b73 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.