Triple
T36148679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Days Marches Foundation |
E1045522
|
entity |
| Predicate | mainEventCountry |
P153335
|
FINISHED |
| Object | Netherlands |
—
|
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: Netherlands | Statement: [Four Days Marches Foundation, mainEventCountry, Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEventCountry Context triple: [Four Days Marches Foundation, mainEventCountry, Netherlands]
-
A.
majorEventCountry
chosen
Indicates that a major event took place in, or is primarily associated with, a particular country.
-
B.
refersToEventCountry
Indicates that one entity references or is associated with the country in which a particular event takes place.
-
C.
eventHostCountries
Indicates that the subject countries serve as hosts for a particular event or set of events.
-
D.
mainHostCountries
Indicates the countries that primarily host or serve as the main locations for a given entity, event, or activity.
-
E.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.