Triple
T3020756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha Tug-of-War Festival |
E82447
|
entity |
| Predicate | ropeLength |
P25800
|
FINISHED |
| Object | approximately 200 meters |
—
|
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 200 meters | Statement: [Naha Tug-of-War Festival, ropeLength, approximately 200 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ropeLength Context triple: [Naha Tug-of-War Festival, ropeLength, approximately 200 meters]
-
A.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
B.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
C.
properLengthMeasuredIn
Indicates that the proper (intrinsic or rest-frame) length of an entity is expressed using a specified unit of measurement.
-
D.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
E.
approximateLengthInMeters
chosen
Indicates the estimated or roughly measured length of something expressed in meters.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a951e688190b3e35909affd3bfd |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.