Triple
T8400750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sedōka |
E198163
|
entity |
| Predicate | totalLineCount |
P4876
|
FINISHED |
| Object | 6 lines |
—
|
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: 6 lines | Statement: [sedōka, totalLineCount, 6 lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalLineCount Context triple: [sedōka, totalLineCount, 6 lines]
-
A.
fastLinesUsedBy
Indicates that certain fast transportation or communication lines are utilized by a particular entity.
-
B.
hasNumberOfLines
chosen
Indicates the relationship that specifies how many lines are associated with a given entity.
-
C.
commonTotalLength
Indicates that the entities share the same overall measured length.
-
D.
totalSystemLength
Indicates the complete measured length of an entire system, aggregating all its relevant components or segments.
-
E.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824da3148190bfa3a1abfdfa02de |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.