Triple
T4398276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull Truck Theatre |
E99546
|
entity |
| Predicate | programmes |
P6928
|
FINISHED |
| Object | new plays |
—
|
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: new plays | Statement: [Hull Truck Theatre, programmes, new plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmes Context triple: [Hull Truck Theatre, programmes, new plays]
-
A.
hasProgramme
chosen
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.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
C.
programmeName
Indicates that an entity has or is identified by a specific programme’s name.
-
D.
famousProgram
Indicates that a program is widely recognized or well-known, typically for its impact, quality, or popularity.
-
E.
domesticProgram
Indicates a program, initiative, or activity that operates within and is limited to a specific country’s internal context or territory.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352adce588190b9e6ed53458aa1e1 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:20 p.m.