Triple
T22334054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunoon Grammar School |
E552096
|
entity |
| Predicate | hasFeederArea |
P147797
|
FINISHED |
| Object | primary schools in Dunoon |
—
|
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: primary schools in Dunoon | Statement: [Dunoon Grammar School, hasFeederArea, primary schools in Dunoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeederArea Context triple: [Dunoon Grammar School, hasFeederArea, primary schools in Dunoon]
-
A.
hasFeederUnion
Indicates that an entity is associated with or connected to a feeder union, typically one that supplies members, resources, or support to it.
-
B.
hasFeederRelationshipTo
Indicates that one entity serves as a source of nourishment, resources, or input that sustains, supports, or feeds another entity.
-
C.
hasFeederTour
Indicates that an entity is associated with a secondary or supporting tour that feeds into a main event or itinerary.
-
D.
hasFeederRoutes
Indicates that one transportation route serves as a feeder, supplying passengers or traffic to another main route.
-
E.
feederSystem
Indicates a system or mechanism that supplies or feeds resources, materials, or inputs into another process, component, or structure.
- F. None of above. chosen
Provenance (4 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577cdcb08190a760e195c1051adb |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.