Triple
T21831143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 90 |
E538996
|
entity |
| Predicate | firstBuilt |
P96
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [British Rail Class 90, firstBuilt, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBuilt Context triple: [British Rail Class 90, firstBuilt, 1987]
-
A.
originallyBuilt
Indicates that one entity was the first or initial builder or constructor of another entity.
-
B.
factoryBuilt
Indicates that one entity constructed or established a factory for or at the location of another entity.
-
C.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
D.
wasFirstBuiltInYear
chosen
Indicates that the initial construction of an entity was completed in a specified year.
-
E.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.