Triple
T6010102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T2K |
E133809
|
entity |
| Predicate | usesBaselineLength |
P49994
|
FINISHED |
| Object | approximately 295 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 295 km | Statement: [T2K, usesBaselineLength, approximately 295 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBaselineLength Context triple: [T2K, usesBaselineLength, approximately 295 km]
-
A.
hasBaselineLength
chosen
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
B.
usesBaseline
Indicates that one entity relies on or applies another entity as a reference baseline for comparison, measurement, or evaluation.
-
C.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
D.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
E.
maximumExtentFromBaseline
Indicates the greatest distance or deviation of something from a defined baseline reference.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4ffa008190a8ef701b82260219 |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.