Triple
T21760862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp II (Advanced Base Camp) on the South Col route |
E537158
|
entity |
| Predicate | supportStaff |
P81570
|
FINISHED |
| Object | Sherpa climbers |
—
|
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: Sherpa climbers | Statement: [Camp II (Advanced Base Camp) on the South Col route, supportStaff, Sherpa climbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportStaff Context triple: [Camp II (Advanced Base Camp) on the South Col route, supportStaff, Sherpa climbers]
-
A.
hasSupportStaff
chosen
Indicates that an entity is associated with one or more staff members who provide assistance or support services to it.
-
B.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
C.
supportBase
Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
-
D.
supportStudioCountry
Indicates that a country provides support or backing to a particular studio.
-
E.
supportsUsers
Indicates that one entity provides assistance, functionality, or compatibility for the users associated with another entity.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d91e9788190a11d0295306e78a4 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:50 p.m.