Triple
T36371615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanark |
E895769
|
entity |
| Predicate | adaptationCompany |
P185420
|
FINISHED |
| Object | Citizens Theatre, Glasgow |
—
|
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: Citizens Theatre, Glasgow | Statement: [Lanark, adaptationCompany, Citizens Theatre, Glasgow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationCompany Context triple: [Lanark, adaptationCompany, Citizens Theatre, Glasgow]
-
A.
adaptationAs
Indicates that one entity is an adaptation or adapted version of another entity, typically transforming the original into a new form or medium while preserving a core relationship.
-
B.
adaptationProducer
Indicates that one entity is the creator or producer responsible for making an adaptation of another entity (such as a work, product, or concept).
-
C.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
D.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
-
E.
company
Indicates that an entity is a business organization engaged in commercial, industrial, or professional activities.
- 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.