Triple
T27001704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corran |
E680124
|
entity |
| Predicate | ferryOperatorType |
P162025
|
FINISHED |
| Object | local authority |
—
|
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 authority | Statement: [Corran, ferryOperatorType, local authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ferryOperatorType Context triple: [Corran, ferryOperatorType, local authority]
-
A.
ferryOperator
Indicates that one entity operates, manages, or runs a ferry service for another entity or in a particular context.
-
B.
shipOperator
Indicates the entity that is responsible for operating, managing, or running a ship.
-
C.
ferryFlightCarrier
Indicates that one carrier operates a ferry (non-revenue repositioning) flight on behalf of another carrier.
-
D.
ferryNetworkBrand
Indicates the brand or commercial identity under which a ferry network operates or is marketed.
-
E.
hasFerryType
Indicates that an entity (such as a ferry route or service) is associated with a specific type or category of ferry.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621c7d3e0819095b1f327637ae4f9 |
completed | May 2, 2026, 4:09 p.m. |
Created at: April 27, 2026, 6:58 a.m.