Triple

T4531463
Position Surface form Disambiguated ID Type / Status
Subject Rosette Nebula E106307 entity
Predicate hasAlternativeName P39 FINISHED
Object Sh 2-275
Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
E450953 NE FINISHED

How this triple was built (4 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: Sh 2-275 | Statement: [Rosette Nebula, hasAlternativeName, Sh 2-275]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sh 2-275
Context triple: [Rosette Nebula, hasAlternativeName, Sh 2-275]
  • A. SH 21-76
    SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
  • B. SH 45
    SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
  • C. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • D. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • E. Shinsen
    Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sh 2-275
Triple: [Rosette Nebula, hasAlternativeName, Sh 2-275]
Generated description
Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sh 2-275
Target entity description: Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
  • A. SH 21-76
    SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
  • B. SH 45
    SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
  • C. SH8
    SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • D. S-23
    S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
  • E. Shinsen
    Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
  • F. None of above. chosen

Provenance (5 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579d7a88819083eb0620ca176f2e completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacde72588190868e3ade922d6033 completed March 20, 2026, 8:23 p.m.
NEDg Description generation batch_69bdb25a2d5081908a2341496753fa3a completed March 20, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69bdb2b33d608190a13d6d1ab3f1c513 completed March 20, 2026, 8:48 p.m.
Created at: March 20, 2026, 1:03 p.m.