Triple
T2563119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arhat Hall |
E57287
|
entity |
| Predicate | hasObjectType |
P16808
|
FINISHED |
| Object | religious statuary |
—
|
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: religious statuary | Statement: [Arhat Hall, hasObjectType, religious statuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObjectType Context triple: [Arhat Hall, hasObjectType, religious statuary]
-
A.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
hasPropertyType
Indicates that an entity possesses or is associated with a specific type or category of property.
-
C.
hasStandardType
Indicates that something conforms to or is categorized under a defined standard classification or type.
-
D.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
E.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.