Triple
T2310850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corridor Manchester innovation district |
E51952
|
entity |
| Predicate | hasKeySector |
P4053
|
FINISHED |
| Object | life sciences |
—
|
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: life sciences | Statement: [Corridor Manchester innovation district, hasKeySector, life sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeySector Context triple: [Corridor Manchester innovation district, hasKeySector, life sciences]
-
A.
keySector
chosen
Indicates that an entity operates in, belongs to, or is primarily associated with a particularly important or strategic sector within a broader domain or economy.
-
B.
hasKeyOrganization
Indicates that an entity is associated with or primarily represented by a main or primary organization.
-
C.
hasKeyAgency
Indicates that an entity serves as the primary responsible or controlling agency for another entity, action, or process.
-
D.
hasSecurityArea
Indicates that an entity is associated with, assigned to, or falls within a defined security-controlled area or zone.
-
E.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.