Triple

T3549002
Position Surface form Disambiguated ID Type / Status
Subject NTT 3.58 m Telescope E75064 entity
Predicate hasInstrument P35 FINISHED
Object SOFI
SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
 E367950 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: SOFI | Statement: [NTT 3.58 m Telescope, hasInstrument, SOFI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOFI
Context triple: [NTT 3.58 m Telescope, hasInstrument, SOFI]
  • A. SOFI
    SOFI is the commonly used abbreviation for the annual United Nations report “The State of Food Security and Nutrition in the World,” which monitors global hunger and nutrition trends.
  • B. Ein Sof
    Ein Sof is the Kabbalistic term for the infinite, unknowable aspect of God that precedes and transcends all creation and manifestation.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • E. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • 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: SOFI
Triple: [NTT 3.58 m Telescope, hasInstrument, SOFI]
Generated description
SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOFI
Target entity description: SOFI is a near-infrared imaging and spectroscopic instrument used on the NTT 3.58 m Telescope at the La Silla Observatory for astronomical observations.
  • A. SOFI
    SOFI is the commonly used abbreviation for the annual United Nations report “The State of Food Security and Nutrition in the World,” which monitors global hunger and nutrition trends.
  • B. Ein Sof
    Ein Sof is the Kabbalistic term for the infinite, unknowable aspect of God that precedes and transcends all creation and manifestation.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • E. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd278348190ad2fa54f4a423541 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be9335c81909ba546a079134c8f completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c5cfb608190b451be14246d5481 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38ce0e1688190a7ee3d079fb83f3d completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.