Triple
T22662300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maravanthe Beach |
E559695
|
entity |
| Predicate | distanceFromKundapura |
P149119
|
FINISHED |
| Object | about 12 km |
—
|
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 12 km | Statement: [Maravanthe Beach, distanceFromKundapura, about 12 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKundapura Context triple: [Maravanthe Beach, distanceFromKundapura, about 12 km]
-
A.
distanceFromDenpasar
Indicates the spatial distance between a given location and Denpasar.
-
B.
distanceFromDharmapuri
Indicates the measured distance between a given place or entity and the location of Dharmapuri.
-
C.
distanceFromMangaluru_km
Indicates the distance, measured in kilometers, between a given place and Mangaluru.
-
D.
distanceFromUbud
Indicates the spatial distance separating a given place or object from the location of Ubud.
-
E.
distanceToKota
Indicates the measured distance between a given entity and the location referred to as Kota.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17660c0c88190bed9fa8f6517eec4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:08 p.m.