Triple

T16754902
Position Surface form Disambiguated ID Type / Status
Subject Expanded Very Large Array E407183 entity
Predicate alsoKnownAs P39 FINISHED
Object EVLA
EVLA is a major upgrade of the Karl G. Jansky Very Large Array radio telescope in New Mexico, enhancing its sensitivity, frequency coverage, and overall scientific capabilities for radio astronomy.
E1231865 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: EVLA | Statement: [Expanded Very Large Array, alsoKnownAs, EVLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EVLA
Context triple: [Expanded Very Large Array, alsoKnownAs, EVLA]
  • A. EALA
    EALA is the regional legislative body of the East African Community responsible for making laws and providing oversight for the bloc.
  • B. ELV
    ELV is a launch pad at the Guiana Space Centre in French Guiana used primarily for launching European Vega rockets.
  • C. EVRA
    EVRA is the ICAO airport code for Riga International Airport, the main international gateway to Latvia’s capital city.
  • D. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • E. LVA
    LVA is the three-letter ISO 3166-1 alpha-3 country code for Latvia.
  • 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: EVLA
Triple: [Expanded Very Large Array, alsoKnownAs, EVLA]
Generated description
EVLA is a major upgrade of the Karl G. Jansky Very Large Array radio telescope in New Mexico, enhancing its sensitivity, frequency coverage, and overall scientific capabilities for radio astronomy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EVLA
Target entity description: EVLA is a major upgrade of the Karl G. Jansky Very Large Array radio telescope in New Mexico, enhancing its sensitivity, frequency coverage, and overall scientific capabilities for radio astronomy.
  • A. EALA
    EALA is the regional legislative body of the East African Community responsible for making laws and providing oversight for the bloc.
  • B. ELV
    ELV is a launch pad at the Guiana Space Centre in French Guiana used primarily for launching European Vega rockets.
  • C. EVRA
    EVRA is the ICAO airport code for Riga International Airport, the main international gateway to Latvia’s capital city.
  • D. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • E. LVA
    LVA is the three-letter ISO 3166-1 alpha-3 country code for Latvia.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abe6b68c8190a5e2a11973f01b8e completed April 18, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a525e57881908e9e9453e6d6eb73 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5b3ce848190a73f06d9708bfc85 completed May 10, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6734d008190bb0a5aa28826e73a completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.