Triple
T16015036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CityCat |
E388442
|
entity |
| Predicate | relatedService |
P12758
|
FINISHED |
| Object | CityFerry |
E388443
|
NE 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: CityFerry | Statement: [CityCat, relatedService, CityFerry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CityFerry Context triple: [CityCat, relatedService, CityFerry]
-
A.
CityFerry
chosen
CityFerry is a network of passenger ferry services operating on Brisbane’s river, providing public transport connections between key riverside locations.
-
B.
City Ferry
City Ferry is a division of City Experiences that operates passenger ferry services, providing water-based transportation and sightseeing experiences.
-
C.
Ferry
Ferry is a common French surname borne by various notable figures, including politicians such as Jules Ferry.
-
D.
Sombra–Marine City ferry
The Sombra–Marine City ferry is a cross-border car and passenger ferry service that connects Sombra, Ontario, in Canada with Marine City, Michigan, in the United States across the St. Clair River.
-
E.
SF Hydro ferry
The SF Hydro ferry was a Norwegian transport vessel sunk in 1944 as part of the Allied effort to disrupt Nazi Germany’s access to heavy water for its atomic research program.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18293ec1081909248e366967850c0 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf284fa481909b571d1bf107fca4 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.