Triple
T36061808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Leopard award peaks |
E1043108
|
entity |
| Predicate | peakListStatus |
P99117
|
FINISHED |
| Object | highest peaks of the former Soviet Union |
—
|
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: highest peaks of the former Soviet Union | Statement: [Snow Leopard award peaks, peakListStatus, highest peaks of the former Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakListStatus Context triple: [Snow Leopard award peaks, peakListStatus, highest peaks of the former Soviet Union]
-
A.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
B.
peakListenership
Indicates the time or context in which an entity (such as a program, station, or platform) reaches its highest number of listeners.
-
C.
peakPositionUS
Indicates the highest chart position an item has reached in the United States.
-
D.
peakService
Indicates that the service is operating during its highest-demand or peak usage period.
-
E.
peakCategory
chosen
Indicates the classification or type of peak an entity belongs to, such as its rank, prominence, or categorical grouping among peaks.
- 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_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.