Triple
T32136351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harima Province |
E820771
|
entity |
| Predicate | hadNunnery |
P173617
|
FINISHED |
| Object | Harima Kokubun-niji |
—
|
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: Harima Kokubun-niji | Statement: [Harima Province, hadNunnery, Harima Kokubun-niji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNunnery Context triple: [Harima Province, hadNunnery, Harima Kokubun-niji]
-
A.
hadAbbey
Indicates that an entity possessed, was associated with, or was the site of a particular abbey.
-
B.
hasAbbess
Indicates that a religious community, convent, or abbey is led or overseen by a specific abbess.
-
C.
hadAbbot
Indicates that an institution, typically a monastery or abbey, was under the leadership or authority of a specific abbot.
-
D.
enteredConvent
Indicates that a person has joined and been admitted into a religious convent as a member.
-
E.
hadSanctuaryOf
Indicates that an entity possessed or hosted a sanctuary dedicated to another entity.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9a9bc4c8190a88918fc4f91136a |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:30 a.m.