Triple
T35526793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEG |
E1026691
|
entity |
| Predicate | regionOfEvents |
P84795
|
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: [FEG, regionOfEvents, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfEvents Context triple: [FEG, regionOfEvents, Asia]
-
A.
takesPlaceInRegion
chosen
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
-
B.
regionDuringEvent
Indicates that a specified region is associated with or exists within the spatial scope of a particular event during its occurrence.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
E.
regionOfInterestTo
Indicates that one entity is a region or area that is of particular interest or relevance to 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: May 3, 2026, 4:04 p.m.