Triple
T17285290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biyun Temple |
E419637
|
entity |
| Predicate | hasCulturalRelicType |
P63949
|
FINISHED |
| Object | Buddhist statues |
—
|
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: Buddhist statues | Statement: [Biyun Temple, hasCulturalRelicType, Buddhist statues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalRelicType Context triple: [Biyun Temple, hasCulturalRelicType, Buddhist statues]
-
A.
hasRelicType
chosen
Indicates that an entity is associated with, classified by, or possesses a specific type or category of relic.
-
B.
hasCulturalSiteType
Indicates that an entity is associated with, or classified by, a specific type or category of cultural site.
-
C.
hasCulturalProperty
Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
-
D.
hasCulturalIcon
Indicates that an entity is associated with or possesses a person, symbol, or object widely recognized as a significant representation of a particular culture.
-
E.
containsRelic
Indicates that one entity holds, includes, or has within it a relic.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332cabdc8190bbc711ab806d53bf |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:40 a.m.