Triple
T35788396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Head of the Bahá'í Faith |
E1034622
|
entity |
| Predicate | seatOfCentralInstitution |
P10881
|
FINISHED |
| Object | Haifa |
—
|
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: Haifa | Statement: [Head of the Bahá'í Faith, seatOfCentralInstitution, Haifa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatOfCentralInstitution Context triple: [Head of the Bahá'í Faith, seatOfCentralInstitution, Haifa]
-
A.
seatOfProtectedInstitution
Indicates that a location serves as the official seat or headquarters of an institution that is legally protected or specially safeguarded.
-
B.
centralInstitutionOf
chosen
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
C.
seatOfUniversity
Indicates that a location serves as the official seat or main campus of a university.
-
D.
governsInstitution
Indicates that one entity holds authoritative control over, manages, or directs the operations and policies of an institution.
-
E.
cityCentreCampus
Indicates that one entity is a campus located in or designated as the city centre campus of another entity (typically an institution or city).
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.