Triple

T15812192
Position Surface form Disambiguated ID Type / Status
Subject Sambia Peninsula E383381 entity
Predicate hasHistoricalName P2834 FINISHED
Object Samland E158749 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: Samland | Statement: [Sambia Peninsula, hasHistoricalName, Samland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samland
Context triple: [Sambia Peninsula, hasHistoricalName, Samland]
  • A. Samland Peninsula chosen
    The Samland Peninsula is a Baltic coastal region in present-day Kaliningrad Oblast, Russia, historically part of East Prussia and notable for its strategic military importance and seaside resorts.
  • B. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • C. Magland
    Magland is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Cluses.
  • D. Schwedeninsel
    Schwedeninsel is a small, wooded island located in the Bavarian lake Ammersee in southern Germany.
  • E. Turtle Island
    Turtle Island is a Pulitzer Prize–winning poetry collection by American poet Gary Snyder that blends environmental themes, spirituality, and reflections on North American landscapes and cultures.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52bbb888190b226567e84ced7e9 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9993c86c8190b1d106af7537080a completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.