Triple

T7026171
Position Surface form Disambiguated ID Type / Status
Subject Faxaflói Bay E162951 entity
Predicate hasViewOf P854 FINISHED
Object Esja mountain E601349 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: Esja mountain | Statement: [Faxaflói Bay, hasViewOf, Esja mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esja mountain
Context triple: [Faxaflói Bay, hasViewOf, Esja mountain]
  • A. Esja mountain chosen
    Esja mountain is a prominent volcanic mountain range near Reykjavík, Iceland, known for its distinctive flat-topped profile and popularity as a hiking destination.
  • B. Mount Esja
    Mount Esja is a prominent volcanic mountain range near Reykjavík, Iceland, popular for its hiking trails and panoramic views over the city and surrounding coastline.
  • C. Mariaberget
    Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
  • D. Mount Riga
    Mount Riga is a scenic, forested highland area in northwestern Connecticut known for its hiking trails, lakes, and historic iron industry sites.
  • E. Wallberg mountain
    Wallberg mountain is a popular Bavarian peak in the Alps known for its panoramic views, hiking and skiing opportunities, and proximity to Lake Tegernsee in southern Germany.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fd6ab48190865271e16e8ff669 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77588285481909799a2bb76921b9a completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.