Triple
T1583344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makalu |
E34016
|
entity |
| Predicate | distanceFromEverest |
P13913
|
FINISHED |
| Object | about 19 km southeast |
—
|
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: about 19 km southeast | Statement: [Makalu, distanceFromEverest, about 19 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromEverest Context triple: [Makalu, distanceFromEverest, about 19 km southeast]
-
A.
relativeToMountEverest
chosen
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
-
B.
distanceToAlps
Indicates the spatial distance between a given location or entity and the Alps.
-
C.
includesHighestMountainOnEarth
Indicates that the subject entity contains or encompasses the location of the tallest mountain on Earth.
-
D.
distanceFromLaPazApproximate
Indicates an approximate measure of how far something is from La Paz, typically expressed as a rough distance rather than an exact value.
-
E.
distanceFromPotosiApproximate
Indicates an approximate measure of how far something is from Potosi.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.