Triple
T7562839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanda Devi |
E178834
|
entity |
| Predicate | massifType |
P23369
|
FINISHED |
| Object | two-peaked massif |
—
|
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: two-peaked massif | Statement: [Nanda Devi, massifType, two-peaked massif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massifType Context triple: [Nanda Devi, massifType, two-peaked massif]
-
A.
mountainType
chosen
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
B.
massiveStructure
Indicates that an entity is a very large or imposing physical structure in terms of size, scale, or mass.
-
C.
mountainRangeType
Indicates the classification or category of a mountain range based on its geological or geographical type.
-
D.
formsMassifWith
Indicates that one landform or geological feature joins with another to collectively form a single, larger massif.
-
E.
isMassive
Indicates that one entity has an extremely large size, scale, or extent relative to typical or comparable entities.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.