Triple
T34410941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onjō-ji |
E883262
|
entity |
| Predicate | bronzeBellStatus |
P178911
|
FINISHED |
| Object | National Treasure of Japan |
—
|
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: National Treasure of Japan | Statement: [Onjō-ji, bronzeBellStatus, National Treasure of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bronzeBellStatus Context triple: [Onjō-ji, bronzeBellStatus, National Treasure of Japan]
-
A.
bellStatus
Indicates the current state or condition of a bell (e.g., whether it is active, ringing, or idle).
-
B.
hasBellFoundry
Indicates that an entity operates, owns, or is associated with a facility where bells are manufactured or cast.
-
C.
hasBells
Indicates that an entity possesses or is equipped with one or more bells.
-
D.
hasBellChamber
Indicates that an entity possesses or includes a bell chamber as one of its structural or functional components.
-
E.
isLargestBellOf
Indicates that one bell is the largest bell belonging to, or associated with, a particular entity or collection.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 1:59 a.m.