Triple
T25406600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikegami Honmon-ji |
E636574
|
entity |
| Predicate | governingSchool |
P175191
|
FINISHED |
| Object | Nichiren Shū |
—
|
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: Nichiren Shū | Statement: [Ikegami Honmon-ji, governingSchool, Nichiren Shū]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingSchool Context triple: [Ikegami Honmon-ji, governingSchool, Nichiren Shū]
-
A.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
-
B.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
-
C.
educationalInstitutionServed
Indicates that one entity provides services, support, or resources to a particular educational institution.
-
D.
attributedSchool
Indicates that an entity is associated with or credited to a particular school, institution, or educational affiliation.
-
E.
attendsSchoolIn
Indicates that a person is enrolled as a student at, and regularly goes to, a school located in a particular place.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 21, 2026, 1:52 p.m.