Triple
T16404293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevenskerk Nijmegen |
E398383
|
entity |
| Predicate | hasOrganConcerts |
P13977
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
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: yes | Statement: [Stevenskerk Nijmegen, hasOrganConcerts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganConcerts Context triple: [Stevenskerk Nijmegen, hasOrganConcerts, yes]
-
A.
hasOrganPlayer
Indicates that an entity has another entity serving as its organ player.
-
B.
hasLiveMusic
chosen
Indicates that a place or event features live musical performances as part of its offerings.
-
C.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
D.
hasMusicInstitution
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
-
E.
hasCulturalEvent
Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.