Triple
T28004673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie Simpson |
E707242
|
entity |
| Predicate | basedInCountryDuringPeak |
P32944
|
FINISHED |
| Object | Scotland |
—
|
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: Scotland | Statement: [Ronnie Simpson, basedInCountryDuringPeak, Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInCountryDuringPeak Context triple: [Ronnie Simpson, basedInCountryDuringPeak, Scotland]
-
A.
locatedInCountryDuringEvent
Indicates that an entity was situated within a specific country for the duration or at the time of a particular event.
-
B.
countryDuringPeak
chosen
Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
-
C.
locationCountryAtTheTime
Indicates that an entity was located in a specified country during a particular time or time period.
-
D.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
-
E.
isLocatedInPresentDayCountry
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 7:59 p.m.