Triple

T3549000
Position Surface form Disambiguated ID Type / Status
Subject NTT 3.58 m Telescope E75064 entity
Predicate hasInstrument P35 FINISHED
Object EMMI
EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
 E367948 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: EMMI | Statement: [NTT 3.58 m Telescope, hasInstrument, EMMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMMI
Context triple: [NTT 3.58 m Telescope, hasInstrument, EMMI]
  • A. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • B. Eimi
    Eimi is an experimental, stream-of-consciousness travelogue by E. E. Cummings that chronicles his journey through Soviet Russia in 1931.
  • C. EMCC
    EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
  • D. Abemama
    Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • 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: EMMI
Triple: [NTT 3.58 m Telescope, hasInstrument, EMMI]
Generated description
EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMMI
Target entity description: EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
  • A. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • B. Eimi
    Eimi is an experimental, stream-of-consciousness travelogue by E. E. Cummings that chronicles his journey through Soviet Russia in 1931.
  • C. EMCC
    EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
  • D. Abemama
    Abemama is a central Pacific atoll in the island nation of Kiribati, known for its lagoon, traditional villages, and role in the country’s colonial and wartime history.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • 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.