Triple

T22695905
Position Surface form Disambiguated ID Type / Status
Subject International Space Station E561169 entity
Predicate hasModule P12988 FINISHED
Object Poisk NE NERFINISHED

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: Poisk | Statement: [International Space Station, hasModule, Poisk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poisk
Context triple: [International Space Station, hasModule, Poisk]
  • A. Poisk chosen
    Poisk is a Russian-built docking and airlock module on the International Space Station used for spacecraft berthing and spacewalks.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • D. Rešetari
    Rešetari is a municipality in eastern Croatia known for its rural communities and location within Brod-Posavina County near the border with Bosnia and Herzegovina.
  • E. Fugar
    Fugar is a prominent town in Nigeria known as one of the key urban centers in Edo State.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789e05d88190b9d51bb3f8e3e9d4 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.