Triple
T32924478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continental Counsellors |
E842229
|
entity |
| Predicate | meetsCollectivelyAt |
P175865
|
FINISHED |
| Object | World Centre of the Bahá’í Faith |
—
|
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: World Centre of the Bahá’í Faith | Statement: [Continental Counsellors, meetsCollectivelyAt, World Centre of the Bahá’í Faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsCollectivelyAt Context triple: [Continental Counsellors, meetsCollectivelyAt, World Centre of the Bahá’í Faith]
-
A.
meetsTo
Indicates that one entity comes together with another at a specific time and place for an encounter, appointment, or interaction.
-
B.
mayMeetAt
Indicates that two or more entities are permitted or able to have a meeting or encounter at a specified place or time.
-
C.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
-
D.
meetsBy
Indicates that one entity encounters or comes together with another entity, typically at a specific time or place.
-
E.
meetsAs
Indicates that two entities encounter or come together at the same place and time, typically in a planned or recognized interaction.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:20 a.m.