Triple
T4783464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalady |
E106419
|
entity |
| Predicate | distanceFromKochi_km |
P59299
|
FINISHED |
| Object | approximately 45 |
—
|
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 45 | Statement: [Kalady, distanceFromKochi_km, approximately 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKochi_km Context triple: [Kalady, distanceFromKochi_km, approximately 45]
-
A.
distanceToKyushu
Indicates the spatial distance between a given entity’s location and the region of Kyushu.
-
B.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
C.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
-
D.
distanceFromOsaka
Indicates the measured distance between a given place or object and the city of Osaka.
-
E.
distanceFromKyoto
Indicates the measured spatial distance between a given entity’s location and the city of Kyoto.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:22 p.m.