Triple
T19596478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Meru |
E470361
|
entity |
| Predicate | hasConceptualType |
P109555
|
FINISHED |
| Object | mythological cosmological axis |
—
|
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: mythological cosmological axis | Statement: [Mount Meru, hasConceptualType, mythological cosmological axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConceptualType Context triple: [Mount Meru, hasConceptualType, mythological cosmological axis]
-
A.
conceptualType
chosen
Indicates that one entity represents the conceptual category, class, or abstract type to which another entity belongs.
-
B.
hasConceptualStructure
Indicates that one entity embodies, organizes, or is characterized by a particular conceptual structure defined by another entity.
-
C.
isConceptual
Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical entity.
-
D.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
E.
hasConceptualOrigin
Indicates that something conceptually originates from, is derived from, or is fundamentally based on another thing.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407b997881909762c8f919c9cdad |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.