Triple
T36061805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Leopard award peaks |
E1043108
|
entity |
| Predicate | awardRequirementFor |
P173799
|
FINISHED |
| Object | Snow Leopard mountaineer |
—
|
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: Snow Leopard mountaineer | Statement: [Snow Leopard award peaks, awardRequirementFor, Snow Leopard mountaineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRequirementFor Context triple: [Snow Leopard award peaks, awardRequirementFor, Snow Leopard mountaineer]
-
A.
requiresAwardsFrom
Indicates that one entity can only proceed, qualify, or be valid if it has received specified awards from another entity.
-
B.
badgeRequirement
chosen
Indicates that one entity specifies the conditions or criteria that must be met to obtain or qualify for a particular badge associated with another entity.
-
C.
evaluationRequirement
Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
-
D.
approvalRequirement
Indicates that one entity must grant permission or authorization before another entity’s action, decision, or state change can proceed.
-
E.
appointmentRequirement
Indicates that a particular action, service, or interaction can only occur if an appointment has been scheduled or a specified appointment condition is met.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 3, 2026, 4:08 p.m.