Triple
T37735745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 洞山良价 |
E940270
|
entity |
| Predicate | hasConceptualSystem |
P89424
|
FINISHED |
| Object | 五位显密结构 |
—
|
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: 五位显密结构 | Statement: [洞山良价, hasConceptualSystem, 五位显密结构]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConceptualSystem Context triple: [洞山良价, hasConceptualSystem, 五位显密结构]
-
A.
hasConceptualStructure
chosen
Indicates that one entity embodies, organizes, or is characterized by a particular conceptual structure defined by another entity.
-
B.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
C.
isConceptual
Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical entity.
-
D.
hasConceptualStatus
Indicates that an entity holds a particular abstract, theoretical, or conceptual standing or classification within a given framework or context.
-
E.
isConceptualizedAs
Indicates that one entity is mentally represented, interpreted, or understood in terms of 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.