Triple
T12587403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzaffarpur |
E300502
|
entity |
| Predicate | distanceToKathmandu |
P84556
|
FINISHED |
| Object | about 240–260 km south |
—
|
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 240–260 km south | Statement: [Muzaffarpur, distanceToKathmandu, about 240–260 km south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKathmandu Context triple: [Muzaffarpur, distanceToKathmandu, about 240–260 km south]
-
A.
distanceFromKathmandu
chosen
Indicates the measured spatial distance between a given location or entity and the city of Kathmandu.
-
B.
distanceToKabul
Indicates the measured spatial distance between a given location or entity and the city of Kabul.
-
C.
distanceToBodhGaya
Indicates the spatial distance between a given entity and the location of Bodh Gaya.
-
D.
distanceFromGuwahati_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Guwahati.
-
E.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:05 p.m.