Triple

T536878
Position Surface form Disambiguated ID Type / Status
Subject Challenger Deep E12344 entity
Predicate visitedByVessel P1096 FINISHED
Object Kaiko ROV E6409 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: Kaiko ROV | Statement: [Challenger Deep, visitedByVessel, Kaiko ROV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiko ROV
Context triple: [Challenger Deep, visitedByVessel, Kaiko ROV]
  • A. ROV Kaikō chosen
    ROV Kaikō was a Japanese remotely operated deep-sea research vehicle renowned for reaching and studying the deepest parts of the world’s oceans.
  • B. DSV Deepsea Challenger
    DSV Deepsea Challenger is a custom-built deep-submergence vehicle designed for filmmaker James Cameron’s record-setting solo dive to the bottom of the Mariana Trench.
  • C. bathyscaphe Trieste
    The bathyscaphe Trieste was a deep-diving research submersible that in 1960 carried Jacques Piccard and Don Walsh on the first crewed descent to the deepest known point in Earth’s oceans.
  • D. Voyager KC2
    Voyager KC2 is an Airbus A330-based multi-role tanker transport aircraft used by the Royal Air Force for air-to-air refuelling and strategic airlift operations.
  • E. Argo floats
    Argo floats are autonomous, drifting oceanographic instruments that profile temperature, salinity, and currents throughout the global oceans to support climate and circulation research.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d278cf88190ad1368da91a7014f completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5aec388190861b0ee100790c7a completed March 1, 2026, 11:31 p.m.
Created at: March 1, 2026, 7:32 p.m.