Triple

T3587621
Position Surface form Disambiguated ID Type / Status
Subject MPG/ESO 2.2 m Telescope E75948 entity
Predicate notableInstrument P9123 FINISHED
Object GROND E371574 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: GROND | Statement: [MPG/ESO 2.2 m Telescope, notableInstrument, GROND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GROND
Context triple: [MPG/ESO 2.2 m Telescope, notableInstrument, GROND]
  • A. GROND chosen
    GROND is a multi-channel optical and near-infrared imaging instrument designed primarily for rapid follow-up observations of gamma-ray bursts and other transient astronomical events.
  • B. Grund
    Grund is a historic, picturesque quarter of Luxembourg City known for its riverside setting, old architecture, and vibrant nightlife.
  • C. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • D. Shogran
    Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
  • E. Grimus
    Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13a11608190a23d76efc1b50e3c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43305b21081909d7f78dac96ceaa8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.