Triple
T30246810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Bell |
E769076
|
entity |
| Predicate | hasHeadquartersFoundedCompanyIn |
P129842
|
FINISHED |
| Object | Buffalo, New York |
—
|
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: Buffalo, New York | Statement: [Lawrence Bell, hasHeadquartersFoundedCompanyIn, Buffalo, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadquartersFoundedCompanyIn Context triple: [Lawrence Bell, hasHeadquartersFoundedCompanyIn, Buffalo, New York]
-
A.
hasHeadquartersOfFoundedCompanyIn
chosen
Indicates that the headquarters of a company is located in a place where that company was originally founded.
-
B.
headquartersFoundedCompanyIn
Indicates that a headquarters entity established or founded a particular company.
-
C.
hasHeadquartersOn
Indicates that an organization’s main headquarters is located on a specified street, road, or similar thoroughfare.
-
D.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
E.
hasHeadquartersFunctionFor
Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:39 p.m.