Triple
T24161905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Jones Cup |
E598861
|
entity |
| Predicate | regionOfParticipants |
P16438
|
FINISHED |
| Object | Asia |
—
|
NE NERFINISHED |
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: Asia | Statement: [William Jones Cup, regionOfParticipants, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfParticipants Context triple: [William Jones Cup, regionOfParticipants, Asia]
-
A.
participantsRegion
chosen
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
-
B.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
C.
regionAtStake
Indicates that a specific geographic or political area is the subject of contention, risk, or negotiation within a given situation or interaction.
-
D.
partyBaseRegion
Indicates the geographic region that serves as the primary base or stronghold for a political party.
-
E.
regionalsIncluded
Indicates that regional-level components, areas, or events are encompassed within or counted as part of a larger whole or context.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e9cd6c81908c33242f19fcc034 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:32 p.m.