Triple

T11915544
Position Surface form Disambiguated ID Type / Status
Subject Kagul Obelisk E283508 entity
Predicate locatedIn P40 FINISHED
Object Summer Garden E165383 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: Summer Garden | Statement: [Kagul Obelisk, locatedIn, Summer Garden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summer Garden
Context triple: [Kagul Obelisk, locatedIn, Summer Garden]
  • A. Summer Garden chosen
    The Summer Garden is a historic park in Saint Petersburg, Russia, renowned for its formal layout, marble statues, and role as a favorite retreat of Peter the Great.
  • B. Summer Landscape
    "Summer Landscape" is a pastoral 19th-century Dutch landscape painting by Andreas Schelfhout, celebrated for its serene rural scenery and meticulous atmospheric detail.
  • C. Spring Garden
    Spring Garden is a small, historically working-class neighborhood on Pittsburgh’s North Side, known for its narrow valley setting and residential character.
  • D. Spring Garden
    Spring Garden is a small settlement located within the parish of St. Thomas in the East in Jamaica.
  • E. Summer Greens
    Summer Greens is a residential suburb within Milnerton in Cape Town, South Africa.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e52a2bc08190b80cc6ccf5779d7c completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4186938548190b5ae10e111aece9a completed May 1, 2026, 3:05 a.m.
Created at: April 8, 2026, 9:44 p.m.