Triple
T33001199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adimali |
E844368
|
entity |
| Predicate | distanceTo Kochi |
P59299
|
FINISHED |
| Object | approximately 100 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: approximately 100 km | Statement: [Adimali, distanceTo Kochi, approximately 100 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo Kochi Context triple: [Adimali, distanceTo Kochi, approximately 100 km]
-
A.
distanceFromKochi_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
-
B.
distanceToKyushu
Indicates the spatial distance between a given entity’s location and the region of Kyushu.
-
C.
distanceToKerikeri
Indicates the measured spatial distance between a given location and Kerikeri.
-
D.
distanceToŌitaCityByRoad
Indicates the road travel distance between a given place and Ōita City.
-
E.
distanceFromOsaka
Indicates the measured distance between a given place or object and the city of Osaka.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:22 a.m.