Triple

T991221
Position Surface form Disambiguated ID Type / Status
Subject Magellan Telescopes E21393 entity
Predicate hasInstrument P35 FINISHED
Object Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
 E117316 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: Megacam | Statement: [Magellan Telescopes, hasInstrument, Megacam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Megacam
Context triple: [Magellan Telescopes, hasInstrument, Megacam]
  • A. Cyber-shot
    Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
  • B. Bortus
    Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
  • C. Coolamon
    Coolamon is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural heritage and historic streetscape.
  • D. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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: Megacam
Triple: [Magellan Telescopes, hasInstrument, Megacam]
Generated description
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Megacam
Target entity description: Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
  • A. Cyber-shot
    Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
  • B. Bortus
    Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
  • C. Coolamon
    Coolamon is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural heritage and historic streetscape.
  • D. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c25e5081909ff1ada6b8bf617a completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258f823c8190afeff79b6a4df911 completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac261af46c81908d61b29ea97c0884 completed March 7, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_69ac26ee09f0819098a7b1adcbb79053 completed March 7, 2026, 1:23 p.m.
Created at: March 1, 2026, 7:41 p.m.