Triple
T4650556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Surrey |
E102282
|
entity |
| Predicate | typicalCharacter |
P54526
|
FINISHED |
| Object | commuter belt constituency |
—
|
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: commuter belt constituency | Statement: [East Surrey, typicalCharacter, commuter belt constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCharacter Context triple: [East Surrey, typicalCharacter, commuter belt constituency]
-
A.
typicalFigure
chosen
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
-
B.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
C.
typicalCast
Indicates that the associated entities form the usual or characteristic cast of characters commonly appearing in a given work or type of work.
-
D.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
E.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.