Triple
T12992978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nepalgunj |
E321961
|
entity |
| Predicate | distanceFromKathmandu_km |
P84556
|
FINISHED |
| Object | approximately 520 |
—
|
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: approximately 520 | Statement: [Nepalgunj, distanceFromKathmandu_km, approximately 520]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKathmandu_km Context triple: [Nepalgunj, distanceFromKathmandu_km, approximately 520]
-
A.
distanceFromKathmandu
chosen
Indicates the measured spatial distance between a given location or entity and the city of Kathmandu.
-
B.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
-
C.
distanceFromGuwahati_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Guwahati.
-
D.
distanceToKabul
Indicates the measured spatial distance between a given location or entity and the city of Kabul.
-
E.
distanceToHirakudDam_km
Indicates the physical distance, measured in kilometers, between a given location and the Hirakud Dam.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.