Triple

T2270816
Position Surface form Disambiguated ID Type / Status
Subject Crescent Lake E50652 entity
Predicate hasTransportation P105 FINISHED
Object FriendShip Boats E99186 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: FriendShip Boats | Statement: [Crescent Lake, hasTransportation, FriendShip Boats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FriendShip Boats
Context triple: [Crescent Lake, hasTransportation, FriendShip Boats]
  • A. Friendship Boats chosen
    Friendship Boats are a fleet of water taxis at Walt Disney World that transport guests across the waterways linking Epcot, Disney’s Hollywood Studios, and nearby resort hotels.
  • B. FJ dinghy
    The FJ dinghy is a popular two-person sailing dinghy widely used for collegiate and club racing and training.
  • C. Jersey Marine
    Jersey Marine is a coastal village in South Wales known for its proximity to Swansea Bay and its historic tower landmark.
  • D. The Boat Service
    The Boat Service is the informal nickname for the Special Boat Service, an elite British special forces unit specializing in maritime counter-terrorism and covert operations.
  • E. BSF Water Wing
    BSF Water Wing is the marine component of India’s Border Security Force responsible for patrolling and securing the country’s riverine and coastal borders.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1be90708190b8878c393dd2a42d completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d97a108190a26ffd20fac91a7e completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.