Triple
T10186517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London’s Air Ambulance Charity |
E236923
|
entity |
| Predicate | hasCharityType |
P80594
|
FINISHED |
| Object | health charity |
—
|
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: health charity | Statement: [London’s Air Ambulance Charity, hasCharityType, health charity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharityType Context triple: [London’s Air Ambulance Charity, hasCharityType, health charity]
-
A.
hasCharitableProgramType
chosen
Indicates that an entity’s charitable program belongs to or is categorized under a specific type of charitable activity or program classification.
-
B.
hasCharitySingle
Indicates that an entity is associated with exactly one specific charitable organization or charitable initiative.
-
C.
hasCharitableFunction
Indicates that an entity performs or is designated to perform activities intended for charitable purposes or public benefit.
-
D.
hasCharityRegistration
Indicates that an entity is officially registered as a charity with the relevant regulatory or governmental authority.
-
E.
hasCharityConnection
Indicates a relationship in which one entity is connected to another through charitable activities, support, or affiliation.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded790b488190b1ed4645554873cd |
completed | April 2, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:12 p.m.