Triple

T9447808
Position Surface form Disambiguated ID Type / Status
Subject Estonian Literary Museum E227808 entity
Predicate abbreviation P43 FINISHED
Object ELM
ELM is the commonly used abbreviation for the Estonian Literary Museum, a national research and memory institution dedicated to preserving and studying Estonia’s literary and folkloric heritage.
 E799485 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: ELM | Statement: [Estonian Literary Museum, abbreviation, ELM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ELM
Context triple: [Estonian Literary Museum, abbreviation, ELM]
  • A. ELM
    ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
  • B. ELC
    ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
  • C. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • D. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • E. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • 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: ELM
Triple: [Estonian Literary Museum, abbreviation, ELM]
Generated description
ELM is the commonly used abbreviation for the Estonian Literary Museum, a national research and memory institution dedicated to preserving and studying Estonia’s literary and folkloric heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ELM
Target entity description: ELM is the commonly used abbreviation for the Estonian Literary Museum, a national research and memory institution dedicated to preserving and studying Estonia’s literary and folkloric heritage.
  • A. ELM
    ELM is the three-letter IATA airport code for Elmira/Corning Regional Airport in New York, United States.
  • B. ELC
    ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
  • C. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • D. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • E. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f62dfa48190bf318777d97f0f2a completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106aeb708190bbbe1d05b7472194 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111213e9081909865b086681d1bbd completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:51 p.m.