Triple

T11816213
Position Surface form Disambiguated ID Type / Status
Subject Alexander (ship) E281005 entity
Predicate partOfConvoyWith P43886 FINISHED
Object Charlotte (ship) E281006 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: Charlotte (ship) | Statement: [Alexander (ship), partOfConvoyWith, Charlotte (ship)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte (ship)
Context triple: [Alexander (ship), partOfConvoyWith, Charlotte (ship)]
  • A. Charlotte (ship) chosen
    Charlotte was one of the convict transport ships of the First Fleet that carried prisoners and settlers from Britain to establish the first European colony in Australia in 1788.
  • B. Tune ship
    The Tune ship is a well-preserved Viking Age burial ship discovered in Norway, notable for its early excavation and display as a key example of Scandinavian seafaring culture.
  • C. Gil Eannes hospital ship
    The Gil Eannes hospital ship is a restored mid-20th-century Portuguese hospital and support vessel, now serving as a museum ship and cultural landmark in Viana do Castelo.
  • D. Trudy Ship
    Trudy Ship is a film editor best known for her work on the drama "Mr. Holland's Opus."
  • E. Queen Mary (ship)
    Queen Mary is a retired British ocean liner, now permanently moored in Long Beach, California, where it serves as a floating hotel, museum, and tourist attraction.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131b62abc8190a02f584541baaee5 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.