Triple
T33333502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhalukpong |
E853471
|
entity |
| Predicate | distanceFromBomdila |
P206420
|
FINISHED |
| Object | about 100 kilometres |
—
|
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 100 kilometres | Statement: [Bhalukpong, distanceFromBomdila, about 100 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBomdila Context triple: [Bhalukpong, distanceFromBomdila, about 100 kilometres]
-
A.
distanceToRajpipla
Indicates the spatial distance between a given entity or location and Rajpipla.
-
B.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
-
C.
distanceFromKullu
Indicates the spatial distance measured from the reference location Kullu to another place or entity.
-
D.
distanceFromMingora
Indicates the spatial distance between a given location and the place named Mingora.
-
E.
distanceFromBhuntar
Indicates the spatial distance measured from the location of Bhuntar to another specified place or entity.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:34 a.m.