Triple
T6430276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khumbu Icefall |
E128160
|
entity |
| Predicate | 2014AvalancheDeaths |
P70852
|
FINISHED |
| Object | 16 Nepali guides |
—
|
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: 16 Nepali guides | Statement: [Khumbu Icefall, 2014AvalancheDeaths, 16 Nepali guides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2014AvalancheDeaths Context triple: [Khumbu Icefall, 2014AvalancheDeaths, 16 Nepali guides]
-
A.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
B.
averageAnnualSnowfall
Indicates the typical amount of snow that falls in a given location over the course of a year, averaged across multiple years.
-
C.
naturalCaveCollapsed
Indicates that a naturally formed cave has undergone a structural failure resulting in its partial or complete collapse.
-
D.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
E.
snowfallRecord
Indicates that a specific amount of snow has been measured or documented for a particular place and time.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c062d290448190a2183158ef75d129 |
completed | March 22, 2026, 9:44 p.m. |
Created at: March 22, 2026, 4:44 p.m.