Triple
T25685145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sairang |
E644046
|
entity |
| Predicate | distanceFrom Aizawl |
P179990
|
FINISHED |
| Object | about 20–25 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 20–25 kilometres | Statement: [Sairang, distanceFrom Aizawl, about 20–25 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFrom Aizawl Context triple: [Sairang, distanceFrom Aizawl, about 20–25 kilometres]
-
A.
distanceFromAizawl_km
chosen
Indicates the physical distance, measured in kilometers, between a given place and the city of Aizawl.
-
B.
distanceFromShillong
Indicates the spatial distance between a given entity or location and Shillong.
-
C.
distanceToKohima_km
Indicates the physical distance, measured in kilometers, from a given entity or location to Kohima.
-
D.
distanceFromGuwahati_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Guwahati.
-
E.
distanceFromMawlamyine_km
Indicates the distance, measured in kilometers, between a given place or entity and Mawlamyine.
- 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 21, 2026, 8:07 p.m.