Triple
T31073356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udo Island |
E791883
|
entity |
| Predicate | distanceFromJeju |
P203536
|
FINISHED |
| Object | about 3.5 kilometers off the east coast of Jeju Island |
—
|
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 3.5 kilometers off the east coast of Jeju Island | Statement: [Udo Island, distanceFromJeju, about 3.5 kilometers off the east coast of Jeju Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJeju Context triple: [Udo Island, distanceFromJeju, about 3.5 kilometers off the east coast of Jeju Island]
-
A.
distanceFromApia
Indicates the measured distance between a given location and Apia.
-
B.
distanceToSeoul
Indicates the measured or estimated spatial distance between a given entity’s location and the city of Seoul.
-
C.
distanceFromGwangju
Indicates the spatial distance between a given location and the city of Gwangju.
-
D.
distanceToApia
Indicates the measured distance between a given entity’s location and the location of Apia.
-
E.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a019dfc69fc8190b0d80279a6216ba7 |
completed | May 11, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_6a019d54586c81908292d4880db9fad2 |
completed | May 11, 2026, 9:11 a.m. |
| PDg | Predicate description generation | batch_6a019dfba430819089f5609d89fbb7d9 |
completed | May 11, 2026, 9:14 a.m. |
Created at: April 29, 2026, 9:01 p.m.