Triple
T33659754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Boot & Sons |
E862317
|
entity |
| Predicate | hasSubsidiaryRelationTo |
P25079
|
FINISHED |
| Object | Henry Boot 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: Henry Boot group | Statement: [Henry Boot & Sons, hasSubsidiaryRelationTo, Henry Boot group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsidiaryRelationTo Context triple: [Henry Boot & Sons, hasSubsidiaryRelationTo, Henry Boot group]
-
A.
hasSubsidiariesIn
Indicates that an entity has subsidiary companies or organizations operating or registered in a specified location or jurisdiction.
-
B.
hasSubsidiaryLabel
chosen
Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
-
C.
usedBySubsidiaryOf
Indicates that something is used by an entity that is a subsidiary of another organization.
-
D.
hasSubsidiaryTop
Indicates that one organization is the primary or top-level parent of another organization that operates as its subsidiary.
-
E.
hasAllianceThroughSubsidiary
Indicates that two entities are in an alliance indirectly, established or maintained through one or more subsidiary entities rather than directly between the primary entities.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: May 1, 2026, 1:42 a.m.