Triple
T31399292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | هندوکش شرقی |
E800948
|
entity |
| Predicate | قاره |
P171824
|
FINISHED |
| Object | آسیا |
—
|
NE NERFINISHED |
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: آسیا | Statement: [هندوکش شرقی, قاره, آسیا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: قاره Context triple: [هندوکش شرقی, قاره, آسیا]
-
A.
nearHighestPeakOf
Indicates that one entity is located close to the highest peak of another referenced geographic or topographic feature.
-
B.
isMostFamousPeakOf
Indicates that one peak is recognized as the most famous or well-known peak associated with a particular geographic area, range, or entity.
-
C.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
D.
borderMountainOf
Indicates that a mountain lies along or forms part of the border of a specified region or entity.
-
E.
hasHighestPeakName
Indicates that the related value is the name of the tallest peak associated with the given entity.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 29, 2026, 9:19 p.m.