Triple

T19931870
Position Surface form Disambiguated ID Type / Status
Subject S106 nebula E479072 entity
Predicate illuminatedBy P38235 FINISHED
Object S106 IR 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: S106 IR | Statement: [S106 nebula, illuminatedBy, S106 IR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S106 IR
Context triple: [S106 nebula, illuminatedBy, S106 IR]
  • A. S106 IR chosen
    S106 IR is a massive young stellar object deeply embedded in the S106 nebula, whose intense radiation and stellar winds carve the nebula’s characteristic bipolar structure.
  • B. S 106
    S 106 is a bipolar emission nebula in the constellation Cygnus, notable for its hourglass shape and active star-forming region surrounding a massive young star.
  • C. IR-20
    IR-20 is the ISO 3166-2 subdivision code assigned to Iran’s Semnan Province.
  • D. S-102
    S-102 is an IHO S-100 series standard that defines high-resolution bathymetric surface data for use in modern electronic navigation and marine applications.
  • E. S-101
    S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a13ebc08190a583aa4c5e9f6648 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.