Triple
T31874160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Rapid Railway 2000 series EMU |
E813691
|
entity |
| Predicate | numberOfSetsBuilt |
P50983
|
FINISHED |
| Object | 6 |
—
|
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 | Statement: [Saitama Rapid Railway 2000 series EMU, numberOfSetsBuilt, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSetsBuilt Context triple: [Saitama Rapid Railway 2000 series EMU, numberOfSetsBuilt, 6]
-
A.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
-
B.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
C.
numberOfTrainsetsBuilt
chosen
Indicates the total count of trainsets that have been constructed or produced.
-
D.
numberOfDesigns
Indicates the quantitative count of designs associated with a given entity or context.
-
E.
numberOfCarsPerSet
Indicates the quantity of cars that are included within a single set.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01487b73488190954eb5143e6f246e |
completed | May 11, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_6a0145210ae481908da59b02efdbc397 |
completed | May 11, 2026, 2:55 a.m. |
Created at: April 30, 2026, 11:55 p.m.