Triple
T10356464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coram's Fields |
E244008
|
entity |
| Predicate | hasCommunityProgrammes |
P80382
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Coram's Fields, hasCommunityProgrammes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunityProgrammes Context triple: [Coram's Fields, hasCommunityProgrammes, yes]
-
A.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
B.
hasSocialConcernPrograms
chosen
Indicates that an entity operates or supports programs aimed at addressing social issues or improving community well-being.
-
C.
hasRegionalProgram
Indicates that an entity operates, offers, or is associated with a program that is specific to a particular geographic region.
-
D.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
E.
hasCommunityService
Indicates that an entity is associated with, participates in, or is subject to community service activities or obligations.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e954a0b8819083e4bd1fa47dc6f5 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:58 a.m.