Triple
T28099055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Dimbleby |
E710178
|
entity |
| Predicate | hasSignatureProgramme |
P177119
|
FINISHED |
| Object | Down Your Way |
—
|
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: Down Your Way | Statement: [Richard Dimbleby, hasSignatureProgramme, Down Your Way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureProgramme Context triple: [Richard Dimbleby, hasSignatureProgramme, Down Your Way]
-
A.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
B.
hasGlobalProgramme
Indicates that an entity operates, participates in, or is associated with a programme that is implemented or recognized at a global or international level.
-
C.
hasSignatureRole
Indicates that an entity holds a primary, defining, or officially recognized role within a given context or relationship.
-
D.
hasCompanionProgramme
Indicates that an entity is associated with or offers a related companion programme that complements its primary programme.
-
E.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 27, 2026, 9:04 p.m.