Triple
T28592314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peterborough Town Library |
E723683
|
entity |
| Predicate | hasAdultServices |
P42418
|
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: [Peterborough Town Library, hasAdultServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdultServices Context triple: [Peterborough Town Library, hasAdultServices, yes]
-
A.
hasAdultPrograms
chosen
Indicates that an entity offers or is associated with programs or services specifically designed for adults.
-
B.
hasAdultArea
Indicates that something includes or is associated with an area designated specifically for adults.
-
C.
isAdultFacility
Indicates that a facility is designated for use by adults rather than children or minors.
-
D.
hasAdultRank
Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
-
E.
adultStatus
Indicates that an entity has reached a recognized age or stage of maturity qualifying it as an adult in a given 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 4:21 a.m.