Triple
T28647670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobden, Ontario |
E725105
|
entity |
| Predicate | historicalNamingReason |
P112449
|
FINISHED |
| Object | to honour free-trade advocate Richard Cobden |
—
|
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: to honour free-trade advocate Richard Cobden | Statement: [Cobden, Ontario, historicalNamingReason, to honour free-trade advocate Richard Cobden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalNamingReason Context triple: [Cobden, Ontario, historicalNamingReason, to honour free-trade advocate Richard Cobden]
-
A.
historicalNameGivenBy
Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
-
B.
regionHistoricalName
Indicates that a region has been known by a particular historical name during some past period.
-
C.
historicMonikerReason
chosen
Indicates the reason or context for which a particular historic name or moniker was given to an entity.
-
D.
historicallyNamedAfter
Indicates that one entity received its name from another entity at some point in the past.
-
E.
historicalNameType
Indicates that the relationship specifies the type or category of a historical name associated with an entity.
- 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_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 28, 2026, 4:49 a.m.