Triple
T14998937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horombo Hut |
E374031
|
entity |
| Predicate | distanceFromMaranguGate |
P116287
|
FINISHED |
| Object | about 12 kilometers by trail |
—
|
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 12 kilometers by trail | Statement: [Horombo Hut, distanceFromMaranguGate, about 12 kilometers by trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMaranguGate Context triple: [Horombo Hut, distanceFromMaranguGate, about 12 kilometers by trail]
-
A.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
-
B.
stoppedDistanceBelowSummit
Indicates that an entity came to a stop at a location that is a certain distance short of reaching the summit.
-
C.
distanceToMountKinabalu
Indicates the measured or calculated spatial distance between a given entity and Mount Kinabalu.
-
D.
distanceToWitney
Indicates the spatial distance between an entity and the location Witney.
-
E.
approximateAscentTimeFromRefuge
Indicates the estimated amount of time required to ascend from a specified refuge to a target point or destination.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:54 a.m.