Triple

T10951332
Position Surface form Disambiguated ID Type / Status
Subject LORAN E258732 entity
Predicate notableVariant P4680 FINISHED
Object LORAN-C E894724 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: LORAN-C | Statement: [LORAN, notableVariant, LORAN-C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LORAN-C
Context triple: [LORAN, notableVariant, LORAN-C]
  • A. LORAN
    LORAN is a long-range terrestrial radio navigation system originally developed for maritime and aviation positioning before the advent of satellite-based GPS.
  • B. Knickebein radio navigation system
    The Knickebein radio navigation system was a World War II German Luftwaffe beam-guidance technology used to direct bombers accurately to their targets at night and in poor visibility.
  • C. TACAN
    TACAN is a military tactical air navigation system that provides aircraft with precise bearing and distance information to a ground station.
  • D. Shannon navigation system
    The Shannon navigation system is a network of navigable waterways, locks, and channels along Ireland’s River Shannon and its connected lakes, enabling inland boating and transport.
  • E. Long Range Navigation chosen
    Long Range Navigation (LORAN) is a terrestrial radio navigation system that uses timed pulses from fixed transmitters to allow ships and aircraft to determine their position over long distances.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.