Triple
T26440209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffin Top |
E665065
|
entity |
| Predicate | distanceFromNainital |
P107523
|
FINISHED |
| Object | about 3 to 4 kilometres by trek |
—
|
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 3 to 4 kilometres by trek | Statement: [Tiffin Top, distanceFromNainital, about 3 to 4 kilometres by trek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNainital Context triple: [Tiffin Top, distanceFromNainital, about 3 to 4 kilometres by trek]
-
A.
distanceToNainital
chosen
Indicates the spatial distance between a given location or entity and the place Nainital.
-
B.
distanceToSrinagar_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Srinagar.
-
C.
distanceToDehradun
Indicates the spatial distance between an entity’s location and the city of Dehradun.
-
D.
distanceFromAlmora
Indicates the measured distance between a given location or entity and the place Almora.
-
E.
approxTrekTimeFromNainital
Indicates the approximate amount of time it takes to complete a trek starting from Nainital.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 26, 2026, 11:57 p.m.