Triple
T34410936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onjō-ji |
E883262
|
entity |
| Predicate | KondōStatus |
P178910
|
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, KondōStatus, National Treasure of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KondōStatus Context triple: [Onjō-ji, KondōStatus, National Treasure of Japan]
-
A.
Sekisui-inStatus
Indicates the current operational or functional status associated with Sekisui-in.
-
B.
NorikuraSkylineStatus
Indicates the operational status or accessibility condition of the Norikura Skyline road at a given time.
-
C.
ianaStatus
Indicates the current registration or operational state of an item as defined by the Internet Assigned Numbers Authority (IANA).
-
D.
korandjeStatus
Indicates that an entity has a particular status, role, or condition specifically in relation to the Korandje language.
-
E.
NorbulingkaStatus
Indicates the current condition, designation, or preservation state associated with Norbulingka.
- 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.