Triple
T21654409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juso Station |
E534419
|
entity |
| Predicate | distanceFromUmeda |
P144885
|
FINISHED |
| Object | approximately 2.4 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 2.4 km | Statement: [Juso Station, distanceFromUmeda, approximately 2.4 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromUmeda Context triple: [Juso Station, distanceFromUmeda, approximately 2.4 km]
-
A.
distanceFromOsaka
Indicates the measured distance between a given place or object and the city of Osaka.
-
B.
distanceFromShibuyaTerminus_km
Indicates the distance, measured in kilometers, from the Shibuya terminus to the referenced location or entity.
-
C.
distanceFromShinOsakaByShinkansen
Indicates the travel distance between a given location and Shin-Osaka Station when using the Shinkansen (bullet train).
-
D.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
-
E.
distanceFromNagoyaCityCenterKilometers
Indicates the distance, measured in kilometers, between an entity and the center of Nagoya City.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59176b28819092384fc5f8968022 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.