Triple
T23686410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Capital of Culture 2018 |
E585179
|
entity |
| Predicate | countryOfParticipant |
P153381
|
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: [European Capital of Culture 2018, countryOfParticipant, Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfParticipant Context triple: [European Capital of Culture 2018, countryOfParticipant, Netherlands]
-
A.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
B.
countryOfPlayer
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
-
C.
attendeeCountry
Indicates the country associated with an attendee, typically where the attendee comes from or is based.
-
D.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
E.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
- F. None of above. chosen
Provenance (4 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5bdfb488190aa7348ab29bf7904 |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:52 p.m.