Triple
T5302720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEAS |
E120020
|
entity |
| Predicate | associatedCompanyFounded |
P15704
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [BEAS, associatedCompanyFounded, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyFounded Context triple: [BEAS, associatedCompanyFounded, 1995]
-
A.
associatedCompanyFoundedIn
chosen
Indicates that the related company was founded in the specified year or time period.
-
B.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
C.
organizationFounded
Indicates that an organization was established or created at a specific point in time, often by a particular founder or founding entity.
-
D.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
E.
foundedAsCompany
Indicates that an entity was originally established or created in the form of a company.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.