Triple
T28256919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French presidential election, 2012 |
E712472
|
entity |
| Predicate | tookPlaceInContinent |
P128626
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [French presidential election, 2012, tookPlaceInContinent, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPlaceInContinent Context triple: [French presidential election, 2012, tookPlaceInContinent, Europe]
-
A.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
-
B.
observedInContinent
chosen
Indicates that something has been observed or recorded as occurring within a particular continent.
-
C.
continentOfHostCity
Indicates the continent on which the host city of an event or entity is located.
-
D.
livedOnContinent
Indicates that an entity resided for a period of time on a specified continent.
-
E.
participatingContinent
Indicates that a continent is involved as a participant in a specified event, process, or relationship.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 11:08 p.m.