Triple
T29305880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windischgraz |
E743092
|
entity |
| Predicate | presentDayCountryOfReferencedPlace |
P89660
|
FINISHED |
| Object | Slovenia |
—
|
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: Slovenia | Statement: [Windischgraz, presentDayCountryOfReferencedPlace, Slovenia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayCountryOfReferencedPlace Context triple: [Windischgraz, presentDayCountryOfReferencedPlace, Slovenia]
-
A.
presentDayCityCountry
Indicates that a given city is located in a specified country in the present day.
-
B.
tookPlaceInPresentDayCountry
Indicates that an event or occurrence happened within the geographic area of the country as it is defined in the present day.
-
C.
isLocatedInPresentDayCountry
chosen
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
-
D.
countryOfReferent
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
-
E.
presentDayTerritoryOf
Indicates that one entity is the modern-day territorial equivalent or current geographic area corresponding to another (typically historical) 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 28, 2026, 1:13 p.m.