Triple
T24359533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 57 |
E614016
|
entity |
| Predicate | numberRebuilt |
P2091
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [British Rail Class 57, numberRebuilt, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberRebuilt Context triple: [British Rail Class 57, numberRebuilt, 33]
-
A.
manyRebuiltAs
Indicates that a large number of entities were reconstructed, renovated, or built again as other entities or in a new form.
-
B.
numberBuilt
chosen
Indicates the total count of items or structures that have been constructed or produced.
-
C.
laterRebuiltAs
Indicates that one entity was reconstructed or redeveloped at a later time to become or be replaced by another specific entity.
-
D.
renumbered
Indicates that an entity’s identifying number or sequence position has been changed to a new numbering scheme.
-
E.
notRebuiltAfter
Indicates that an entity was destroyed or damaged and has not been reconstructed or restored after a specified event or point in time.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2934bcc608190b86bc091474bb259 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.