Triple
T33563043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ros an Mhíl |
E859678
|
entity |
| Predicate | hasFerryTerminalOperator |
P5933
|
FINISHED |
| Object | Aran Island Ferries |
—
|
NE NERFINISHED |
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: Aran Island Ferries | Statement: [Ros an Mhíl, hasFerryTerminalOperator, Aran Island Ferries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFerryTerminalOperator Context triple: [Ros an Mhíl, hasFerryTerminalOperator, Aran Island Ferries]
-
A.
ferryOperatorType
Indicates the type or category of operator responsible for running a ferry service.
-
B.
ferryOperator
chosen
Indicates that one entity operates, manages, or runs a ferry service for another entity or in a particular context.
-
C.
hasContainerTerminalOperator
Indicates that an entity is operated or managed by a specific container terminal operator.
-
D.
hasFerryService
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
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.
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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 1, 2026, 1:40 a.m.