Triple
T30231473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikaruga area |
E768639
|
entity |
| Predicate | hasUNESCODesignationReason |
P19091
|
FINISHED |
| Object | outstanding example of early Buddhist architecture in wood |
—
|
LITERAL FINISHED |
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: outstanding example of early Buddhist architecture in wood | Statement: [Ikaruga area, hasUNESCODesignationReason, outstanding example of early Buddhist architecture in wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUNESCODesignationReason Context triple: [Ikaruga area, hasUNESCODesignationReason, outstanding example of early Buddhist architecture in wood]
-
A.
designationReason
chosen
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
B.
UNDesignation
Indicates that an entity has been formally assigned a specific status, role, or classification by the United Nations.
-
C.
criterionOfDesignation
Indicates that something serves as the standard, rule, or basis used to assign or determine a particular designation for another entity.
-
D.
hasRegionDesignation
Indicates that an entity is assigned or associated with a specific regional classification or designation.
-
E.
hasESODesignation
Indicates that an entity is assigned a specific designation or identifier by the European Southern Observatory (ESO).
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 29, 2026, 7:36 p.m.