Triple
T4644043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kailash |
E101720
|
entity |
| Predicate | shapeDescription |
P1464
|
FINISHED |
| Object | distinctive four-sided pyramid-like peak |
—
|
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: distinctive four-sided pyramid-like peak | Statement: [Mount Kailash, shapeDescription, distinctive four-sided pyramid-like peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeDescription Context triple: [Mount Kailash, shapeDescription, distinctive four-sided pyramid-like peak]
-
A.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
designDescription
Indicates that an entity has a textual explanation or summary of its design, structure, or intended configuration.
-
C.
styleDescribedAs
Indicates that the manner, aesthetic, or mode of something is characterized or labeled using a particular style description.
-
D.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
E.
materialDescribedAs
Indicates that a material is characterized or specified using a particular descriptive term, label, or textual description.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.