Triple

T12175853
Position Surface form Disambiguated ID Type / Status
Subject Herbig–Haro object E290083 entity
Predicate cataloguedAs P5301 FINISHED
Object HH 1
HH 1 is a well-known Herbig–Haro object, a small, bright patch of nebulosity formed by jets from a newborn star colliding with surrounding interstellar gas and dust.
 E965912 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: HH 1 | Statement: [Herbig–Haro object, cataloguedAs, HH 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HH 1
Context triple: [Herbig–Haro object, cataloguedAs, HH 1]
  • A. HH
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • B. 1 H
    1 H is the standard abbreviation for the 1st Hussars, a Canadian Army Reserve armoured regiment.
  • C. H-1
    The H-1 was a liquid-fueled rocket engine developed in the United States and used on early Saturn launch vehicles during the Apollo era.
  • D. H-1
    H-1 is a major east–west Interstate highway on the island of Oʻahu in Hawaii, serving as a primary transportation corridor through Honolulu and surrounding areas.
  • E. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • 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: HH 1
Triple: [Herbig–Haro object, cataloguedAs, HH 1]
Generated description
HH 1 is a well-known Herbig–Haro object, a small, bright patch of nebulosity formed by jets from a newborn star colliding with surrounding interstellar gas and dust.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HH 1
Target entity description: HH 1 is a well-known Herbig–Haro object, a small, bright patch of nebulosity formed by jets from a newborn star colliding with surrounding interstellar gas and dust.
  • A. HH
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • B. 1 H
    1 H is the standard abbreviation for the 1st Hussars, a Canadian Army Reserve armoured regiment.
  • C. H-1
    The H-1 was a liquid-fueled rocket engine developed in the United States and used on early Saturn launch vehicles during the Apollo era.
  • D. H-1
    H-1 is a major east–west Interstate highway on the island of Oʻahu in Hawaii, serving as a primary transportation corridor through Honolulu and surrounding areas.
  • E. HUU
    HUU is the students' union representing and supporting students at the University of Hull through services, activities, and advocacy.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdebe3fc81909a5bb23a943c3c43 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:50 p.m.