Triple
T27569706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | southern flank of Cho Oyu |
E695998
|
entity |
| Predicate | hasApproximateElevationMax_m |
P46534
|
FINISHED |
| Object | 8201 |
—
|
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: 8201 | Statement: [southern flank of Cho Oyu, hasApproximateElevationMax_m, 8201]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateElevationMax_m Context triple: [southern flank of Cho Oyu, hasApproximateElevationMax_m, 8201]
-
A.
hasApproxElevationFeet
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
-
B.
highestPassApproxElevation
Indicates the approximate elevation of the highest pass along a given route or within a specified area.
-
C.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
D.
hasSummitElevationApprox
Indicates that an entity has an approximate elevation value for its summit or highest point.
-
E.
hasTopElevation
chosen
Indicates that an entity has a specified maximum or highest elevation value.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 1:42 p.m.