Triple
T29128731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohang Station |
E738306
|
entity |
| Predicate | distanceFromSeoulByRail |
P65643
|
FINISHED |
| Object | approximately 350 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 350 km | Statement: [Pohang Station, distanceFromSeoulByRail, approximately 350 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSeoulByRail Context triple: [Pohang Station, distanceFromSeoulByRail, approximately 350 km]
-
A.
distanceToSeoul
Indicates the measured or estimated spatial distance between a given entity’s location and the city of Seoul.
-
B.
distanceFromApia
Indicates the measured distance between a given location and Apia.
-
C.
directionFromSeoul
Indicates the cardinal or relative compass direction in which an entity is located when measured from Seoul.
-
D.
distanceFromGwangju
Indicates the spatial distance between a given location and the city of Gwangju.
-
E.
distanceToByRail
chosen
Indicates the distance between two locations when traveling via railway routes.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a00694f72888190983fee7d687a6daa |
completed | May 10, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_6a00685dbf44819098ea0c86bb9e50d8 |
completed | May 10, 2026, 11:13 a.m. |
Created at: April 28, 2026, 11:30 a.m.