Triple
T5313698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 2 coaching stock |
E119092
|
entity |
| Predicate | usedAfterPrivatisationBy |
P6937
|
FINISHED |
| Object | various UK train operating companies |
—
|
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: various UK train operating companies | Statement: [Mark 2 coaching stock, usedAfterPrivatisationBy, various UK train operating companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAfterPrivatisationBy Context triple: [Mark 2 coaching stock, usedAfterPrivatisationBy, various UK train operating companies]
-
A.
privatizedOn
Indicates the date or point in time when an entity transitioned from public or state ownership/control to private ownership/control.
-
B.
region after nationalisation
Indicates that a region is characterized or defined by its status or condition following a process of nationalisation.
-
C.
privatisationContext
Indicates the context, conditions, or circumstances under which a privatisation process or action takes place.
-
D.
usedAfterWar
Indicates that an entity came into use only after a specific war or conflict had ended.
-
E.
laterUsedBy
chosen
Indicates that something is subsequently utilized or employed by a specified entity at a later 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.