Triple
T24104183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creola |
E597171
|
entity |
| Predicate | isLocatedInDirectionFromMobile |
P29992
|
FINISHED |
| Object | north of Mobile |
—
|
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: north of Mobile | Statement: [Creola, isLocatedInDirectionFromMobile, north of Mobile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInDirectionFromMobile Context triple: [Creola, isLocatedInDirectionFromMobile, north of Mobile]
-
A.
isInDirectionOf
chosen
Indicates that one entity is oriented or positioned toward the direction in which another entity lies.
-
B.
isDirection
Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
-
C.
isInTravelDirection
Indicates that one entity lies along or matches the direction in which another entity is traveling or moving.
-
D.
directionRelativeTo
Indicates the spatial orientation of one entity in relation to another, such as which way it faces or points relative to a reference entity.
-
E.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de1399108190986f604468cd5858 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11 p.m.