Triple
T34535007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellington Quay |
E886643
|
entity |
| Predicate | namedForEventOrPersonRole |
P191916
|
FINISHED |
| Object | British military leader and statesman |
—
|
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: British military leader and statesman | Statement: [Wellington Quay, namedForEventOrPersonRole, British military leader and statesman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForEventOrPersonRole Context triple: [Wellington Quay, namedForEventOrPersonRole, British military leader and statesman]
-
A.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
B.
namedForPersonField
Indicates that a field or area is named in honor of a specific person.
-
C.
namedForPersonFullName
Indicates that an entity is named after a specific person, identified by that person’s full name.
-
D.
namedForPersonAffiliation
Indicates that something is named after a person specifically because of that person's affiliation with a particular group, organization, place, or role.
-
E.
namedForEventAssociatedWithHonoree
Indicates that something is named in recognition of an event that is closely associated with the honoree.
- F. None of above. chosen
Provenance (4 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 1, 2026, 2:02 a.m.