Triple
T6047000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weybridge Library |
E134690
|
entity |
| Predicate | offersMembershipTo |
P56854
|
FINISHED |
| Object | local residents |
—
|
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: local residents | Statement: [Weybridge Library, offersMembershipTo, local residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersMembershipTo Context triple: [Weybridge Library, offersMembershipTo, local residents]
-
A.
offersMemberships
chosen
Indicates that an entity provides or makes available membership options or programs to other entities.
-
B.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
offersPass
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
-
E.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.