Triple

T19818043
Position Surface form Disambiguated ID Type / Status
Subject IML-2 E476110 entity
Predicate predecessorMission P97 FINISHED
Object IML-1 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: IML-1 | Statement: [IML-2, predecessorMission, IML-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IML-1
Context triple: [IML-2, predecessorMission, IML-1]
  • A. IML-1 chosen
    IML-1 (International Microgravity Laboratory-1) was a Spacelab mission focused on microgravity science experiments conducted aboard the Space Shuttle.
  • B. IML-2
    IML-2 was a NASA Space Shuttle Spacelab mission focused on microgravity and life sciences research conducted in low Earth orbit.
  • C. IMK
    IMK is the German Standing Conference of the Interior Ministers of the federal states, a key body for coordinating internal security and domestic policy across Germany’s Länder.
  • D. IMM
    IMM is a research organization focused on advancing molecular nanotechnology and atomically precise manufacturing.
  • E. IMM
    IMM is the commonly used abbreviation for the United States Postal Service’s International Mail Manual, which provides regulations and guidelines for mailing items to foreign countries.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fac7b481909a19ae0d608e01d9 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.