Triple
T24532369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK creative industries |
E606847
|
entity |
| Predicate | majorCluster |
P70206
|
FINISHED |
| Object | London |
—
|
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: London | Statement: [UK creative industries, majorCluster, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCluster Context triple: [UK creative industries, majorCluster, London]
-
A.
majorNode
Indicates that an entity functions as a primary or most important node within a larger structure or network.
-
B.
majorSee
chosen
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
C.
majorType
Indicates that one entity is classified as the primary or main type/category of another entity.
-
D.
majorGroup
Indicates that an entity belongs to or is classified under a primary or overarching group within a broader categorization.
-
E.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.