Triple
T4974076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Canada Square |
E111722
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Olympia and York |
E319811
|
NE 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: Olympia and York | Statement: [One Canada Square, developer, Olympia and York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympia and York Context triple: [One Canada Square, developer, Olympia and York]
-
A.
Olympia and York
chosen
Olympia and York was a major Canadian real estate development firm best known for building large-scale office complexes such as Toronto’s First Canadian Place and London’s Canary Wharf.
-
B.
Douglas
Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
-
C.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
D.
Douglas
Douglas is a community area on the South Side of Chicago, Illinois, known for its historic residential neighborhoods and proximity to the city’s lakefront.
-
E.
Douglas
Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd722e77208190833dc760a57428d5 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81fcd98081909759612c94ab37d2 |
completed | March 21, 2026, 11:33 a.m. |
Created at: March 20, 2026, 1:33 p.m.