Triple

T15496671
Position Surface form Disambiguated ID Type / Status
Subject HMS E378834 entity
Predicate distinguishedFrom P1612 FINISHED
Object RMS E949983 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: RMS | Statement: [HMS, distinguishedFrom, RMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMS
Context triple: [HMS, distinguishedFrom, RMS]
  • A. RMS
    RMS is the vehicle registration code assigned to the municipality of Eppstein in Germany.
  • B. RMS
    RMS is the stock ticker symbol for Hermès International, the French luxury goods company renowned for its high-end fashion, leather goods, and accessories.
  • C. RMS chosen
    RMS is the acronym for Roads and Maritime Services, the former New South Wales government agency responsible for managing roads, traffic, and maritime infrastructure.
  • D. S.S. Wimbledon
    S.S. Wimbledon was a British steamship at the center of the 1923 Permanent Court of International Justice case "S.S. Wimbledon," which clarified principles of international law on treaty obligations and freedom of navigation.
  • E. HMHS
    HMHS is the registration prefix used to designate British hospital ships, standing for "His/Her Majesty's Hospital Ship."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3665769c8190be1af51a82a5e75f completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:52 a.m.