Triple
T28851380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilicho Lake |
E728603
|
entity |
| Predicate | approximateTrekDurationFromManang |
P193413
|
FINISHED |
| Object | 2 to 3 days one way |
—
|
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: 2 to 3 days one way | Statement: [Tilicho Lake, approximateTrekDurationFromManang, 2 to 3 days one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTrekDurationFromManang Context triple: [Tilicho Lake, approximateTrekDurationFromManang, 2 to 3 days one way]
-
A.
approximateDescentTimeToGokyoVillage
Indicates the estimated amount of time required to descend to Gokyo Village from a given location.
-
B.
trekDistanceFromLukla
Indicates the trekking distance required to reach a location starting from Lukla.
-
C.
timeFromLukla
Indicates the amount of time required to travel from Lukla to the referenced location or event.
-
D.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
-
E.
recommendedTimeToHike
Indicates the suggested or optimal time period during which one should undertake a particular hike.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: April 28, 2026, 6:44 a.m.