Triple

T1567948
Position Surface form Disambiguated ID Type / Status
Subject Very Large Telescope E33473 entity
Predicate hasInstrument P35 FINISHED
Object UVES
UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
 E176893 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: UVES | Statement: [Very Large Telescope, hasInstrument, UVES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UVES
Context triple: [Very Large Telescope, hasInstrument, UVES]
  • A. VUV
    VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
  • B. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • E. Vuse
    Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
  • 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: UVES
Triple: [Very Large Telescope, hasInstrument, UVES]
Generated description
UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UVES
Target entity description: UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
  • A. VUV
    VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
  • B. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • E. Vuse
    Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908a15e308190b8bec55d1712812a completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad371b99fc8190b8af03444fd1252b completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad37e306948190bbaa14829ce094e6 completed March 8, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad38d20b608190b95ff9906cfd9f83 completed March 8, 2026, 8:52 a.m.
Created at: March 4, 2026, 7:27 p.m.