Triple
T34800820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Express Coaches |
E1003213
|
entity |
| Predicate | formerNameOfParentCompany |
P201795
|
FINISHED |
| Object | National Express Group |
—
|
NE NERFINISHED |
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: National Express Group | Statement: [National Express Coaches, formerNameOfParentCompany, National Express Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfParentCompany Context triple: [National Express Coaches, formerNameOfParentCompany, National Express Group]
-
A.
formerParentCompany
Indicates that one entity previously served as the parent company of another but no longer holds that status.
-
B.
formerParentCompanyType
Indicates that an entity previously served as a parent company of a specified type for another entity, but no longer holds that role.
-
C.
predecessorCompany
Indicates that one company previously existed in a role or form that was succeeded or replaced by another company.
-
D.
underlyingCompanyFormerName
Indicates that the object is a former or previous legal name by which the underlying company (the subject) was known.
-
E.
laterParentCompany
Indicates that one entity became the parent company of another entity at a later point in time, after some prior state or relationship.
- F. None of above. chosen
Provenance (4 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
| PDg | Predicate description generation | batch_6a0022494be881908bdf945d2393a40f |
completed | May 10, 2026, 6:14 a.m. |
Created at: May 3, 2026, 3:59 p.m.