Triple
T33088975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British aircraft industry |
E846717
|
entity |
| Predicate | historicallyIncludedCompany |
P76306
|
FINISHED |
| Object | Hawker Siddeley |
—
|
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: Hawker Siddeley | Statement: [British aircraft industry, historicallyIncludedCompany, Hawker Siddeley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyIncludedCompany Context triple: [British aircraft industry, historicallyIncludedCompany, Hawker Siddeley]
-
A.
associatedCompanyHeritage
Indicates a relationship where a company is linked to a particular heritage, origin, or historical background.
-
B.
associatedCompanyFormerlyIndependent
chosen
Indicates that the associated company was once an independent entity before becoming linked to or integrated with another organization.
-
C.
includesCompaniesFrom
Indicates that a collection, group, or set contains or incorporates one or more companies as its members or elements.
-
D.
notableCompanyHistory
Indicates that there exists a significant or historically important relationship or event involving the company and the subject entity.
-
E.
hasHistoricIndustry
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:26 a.m.