Triple

T18443189
Position Surface form Disambiguated ID Type / Status
Subject UGC 8508 E450584 entity
Predicate hasAlternativeName P39 FINISHED
Object KDG 73
KDG 73 is a nearby dwarf irregular galaxy in the constellation Ursa Major, also known as UGC 8508.
E1324765 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: KDG 73 | Statement: [UGC 8508, hasAlternativeName, KDG 73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDG 73
Context triple: [UGC 8508, hasAlternativeName, KDG 73]
  • A. KDG 61
    KDG 61 is a faint dwarf galaxy that is a member of the nearby M81 Group in the constellation Ursa Major.
  • B. KDG 64
    KDG 64 is a dwarf galaxy that is a member of the nearby M81 Group of galaxies in the constellation Ursa Major.
  • C. KDG
    KDG is the National Rail station code for Kidsgrove railway station in Staffordshire, England.
  • D. K7
    K7 is a prominent and technically challenging high-altitude peak in Pakistan’s Karakoram range, renowned among mountaineers for its steep granite faces and remote location.
  • E. K7
    K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
  • 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: KDG 73
Triple: [UGC 8508, hasAlternativeName, KDG 73]
Generated description
KDG 73 is a nearby dwarf irregular galaxy in the constellation Ursa Major, also known as UGC 8508.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KDG 73
Target entity description: KDG 73 is a nearby dwarf irregular galaxy in the constellation Ursa Major, also known as UGC 8508.
  • A. KDG 61
    KDG 61 is a faint dwarf galaxy that is a member of the nearby M81 Group in the constellation Ursa Major.
  • B. KDG 64
    KDG 64 is a dwarf galaxy that is a member of the nearby M81 Group of galaxies in the constellation Ursa Major.
  • C. KDG
    KDG is the National Rail station code for Kidsgrove railway station in Staffordshire, England.
  • D. K7
    K7 is a prominent and technically challenging high-altitude peak in Pakistan’s Karakoram range, renowned among mountaineers for its steep granite faces and remote location.
  • E. K7
    K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c12a0248190a848a1fe833a1975 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fdd9cc48190a7b9eab5cd00eeb9 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a0411178f848190a825eac107ceabc2 completed May 13, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0411953ddc8190845a712b26dde37f completed May 13, 2026, 5:52 a.m.
Created at: April 10, 2026, 11:30 a.m.