Triple
T18816229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Reformed church of Bruinisse |
E460141
|
entity |
| Predicate | roleInVillage |
P15115
|
FINISHED |
| Object | spiritual center of Bruinisse |
—
|
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: spiritual center of Bruinisse | Statement: [Dutch Reformed church of Bruinisse, roleInVillage, spiritual center of Bruinisse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInVillage Context triple: [Dutch Reformed church of Bruinisse, roleInVillage, spiritual center of Bruinisse]
-
A.
roleInCommunity
chosen
Indicates the function, position, or set of responsibilities an entity holds within a particular community or group.
-
B.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
C.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
D.
roleInVietnam
Indicates that an entity held a specific role, position, or function in the context of the Vietnam War or in Vietnam-related activities.
-
E.
roleInKuomboka
Indicates that an entity holds a specific role or function within the context of the Kuomboka ceremony or 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:55 a.m.