Triple
T20762941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Toronto Area |
E511016
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | King |
—
|
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: King | Statement: [Greater Toronto Area, hasCity, King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Context triple: [Greater Toronto Area, hasCity, King]
-
A.
King
"King" is a hit synth-pop song by the British band Years & Years, known for its catchy melody and themes of emotional control and toxic relationships.
-
B.
King
"King" is a 2005 action-crime film directed by Craig R. Baxley, known for its gritty portrayal of underworld power struggles.
-
C.
King
The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
-
D.
King
The King of the Netherlands is the hereditary head of state who formally embodies the monarchy within the country’s constitutional system.
-
E.
King
chosen
King is a public transit stop commonly associated with King Street, likely serving as a key access point along that corridor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24a154c8190a9062923308d2411 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.