Triple
T1656773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagarmatha National Park |
E35815
|
entity |
| Predicate | SagarmathaMeaning |
P30965
|
FINISHED |
| Object | Forehead of the Sky in Nepali |
—
|
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: Forehead of the Sky in Nepali | Statement: [Sagarmatha National Park, SagarmathaMeaning, Forehead of the Sky in Nepali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SagarmathaMeaning Context triple: [Sagarmatha National Park, SagarmathaMeaning, Forehead of the Sky in Nepali]
-
A.
mountainName
Indicates that an entity is identified by a specific mountain’s name.
-
B.
relativeToMountEverest
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
-
C.
includesHighestMountainOnEarth
Indicates that the subject entity contains or encompasses the location of the tallest mountain on Earth.
-
D.
equivalentInTibet
Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
-
E.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
- F. None of above. chosen
Provenance (4 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99a4c3810819089d2dd0e23c8e46b |
completed | March 5, 2026, 2:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.