Triple
T21657149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 86 |
E534495
|
entity |
| Predicate | laterNumbering |
P134912
|
FINISHED |
| Object | 86001–86260 |
—
|
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: 86001–86260 | Statement: [British Rail Class 86, laterNumbering, 86001–86260]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterNumbering Context triple: [British Rail Class 86, laterNumbering, 86001–86260]
-
A.
laterNumber
Indicates that one number occurs or is positioned later than another in a specified ordering or sequence.
-
B.
followsNumbering
chosen
Indicates that one entity adheres to or continues the numbering sequence established by another entity.
-
C.
laterNumberingSystem
Indicates that one numbering system was adopted or used after another, reflecting a subsequent or more recent scheme of numbering.
-
D.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
E.
legalNumbering
Indicates that an entity has an officially assigned legal or regulatory identification number.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5919c9c88190a2ddcf2cefee79a5 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.