Triple
T1476874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississauga |
E30860
|
entity |
| Predicate | hasCorporateHeadquarters |
P10544
|
FINISHED |
| Object | multiple Canadian and multinational corporations |
—
|
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: multiple Canadian and multinational corporations | Statement: [Mississauga, hasCorporateHeadquarters, multiple Canadian and multinational corporations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorporateHeadquarters Context triple: [Mississauga, hasCorporateHeadquarters, multiple Canadian and multinational corporations]
-
A.
hasHeadquartersType
Indicates the specific kind or classification of headquarters associated with an entity.
-
B.
hasParentCompanyHeadquarters
Indicates that a company’s parent organization has its main headquarters located at a specified place.
-
C.
employerHeadquarters
chosen
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
D.
majorCompanyHeadquartered
Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
-
E.
hasHeadquartersBuilding
Indicates that an organization possesses a specific building that serves as its headquarters location.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c603f9e88190b340734709534860 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:11 p.m.