Triple
T7890333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lymm Community Primary School |
E183211
|
entity |
| Predicate | servesLocalCommunity |
P25084
|
FINISHED |
| Object | Lymm community |
—
|
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: Lymm community | Statement: [Lymm Community Primary School, servesLocalCommunity, Lymm community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLocalCommunity Context triple: [Lymm Community Primary School, servesLocalCommunity, Lymm community]
-
A.
communityService
Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
-
B.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
C.
hasCommunityService
Indicates that an entity is associated with, participates in, or is subject to community service activities or obligations.
-
D.
hasCommunityServed
chosen
Indicates that an entity provides services or benefits to, or is intended to support, a particular community or group of people.
-
E.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ecb700819091c1bdfa95349d36 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5 p.m.