Triple
T28601953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Africa |
E723935
|
entity |
| Predicate | trackPositionInSuite |
P13404
|
FINISHED |
| Object | early movement |
—
|
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: early movement | Statement: [All Africa, trackPositionInSuite, early movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackPositionInSuite Context triple: [All Africa, trackPositionInSuite, early movement]
-
A.
positionInTrackList
chosen
Indicates the specific ordered place an item occupies within a track list.
-
B.
positionInTrain
Indicates the relative location or ordering of an entity within the sequence of cars or sections that make up a train.
-
C.
trainPosition
Indicates the spatial location or coordinates of a train along its route or track at a given time.
-
D.
positionOnRecord
Indicates the specific place or rank an item occupies within an ordered record or listing.
-
E.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 4:25 a.m.