Triple
T37290523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian Gasherbrum II expedition |
E925653
|
entity |
| Predicate | mountainInCountry |
P38503
|
FINISHED |
| Object | Pakistan |
E1646
|
NE 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: Pakistan | Statement: [Austrian Gasherbrum II expedition, mountainInCountry, Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainInCountry Context triple: [Austrian Gasherbrum II expedition, mountainInCountry, Pakistan]
-
A.
countryOfMountain
chosen
Indicates the country within whose territory a given mountain is located.
-
B.
homeMountainOf
Indicates that a particular mountain is the primary or native mountain associated with a given entity (such as a person, group, or organization).
-
C.
countryHighestPeak
Indicates that a given peak is the tallest mountain within the specified country.
-
D.
prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
-
E.
otherHolyMountains
Indicates that an entity is associated with additional sacred or holy mountains beyond a primary one already referenced.
- F. None of above.
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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a405128946481909a5f05234d9855d4 |
completed | June 27, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.