Triple
T2828077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinkaku-ji |
E54970
|
entity |
| Predicate | roofOrnament |
P3576
|
FINISHED |
| Object | phoenix statue |
—
|
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: phoenix statue | Statement: [Kinkaku-ji, roofOrnament, phoenix statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofOrnament Context triple: [Kinkaku-ji, roofOrnament, phoenix statue]
-
A.
roofFeature
chosen
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
B.
ornamentsRepresent
Indicates that certain ornaments symbolically stand for, depict, or convey the meaning of something else.
-
C.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
D.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
E.
throneDecoration
Indicates that one entity serves as a decorative element or ornamentation for a throne associated with another entity.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde95d8148190bcae8b0659a5c116 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.