Triple
T33333501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhalukpong |
E853471
|
entity |
| Predicate | distanceFromTezpur |
P198074
|
FINISHED |
| Object | about 52 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 52 kilometres | Statement: [Bhalukpong, distanceFromTezpur, about 52 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTezpur Context triple: [Bhalukpong, distanceFromTezpur, about 52 kilometres]
-
A.
distanceToTezpurApproxKm
chosen
Indicates an approximate distance, measured in kilometers, from a given entity or location to Tezpur.
-
B.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
-
C.
distanceFromDimapur
Indicates the measured distance between a given place or entity and the location of Dimapur.
-
D.
distanceToBeppuByRoad
Indicates the road travel distance required to reach Beppu from a given location.
-
E.
distanceToDibrugarh
Indicates the measured spatial distance between a given entity and the location Dibrugarh.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.