Triple

T1036799
Position Surface form Disambiguated ID Type / Status
Subject MIT Research Laboratory of Electronics E22380 entity
Predicate shortName P43 FINISHED
Object RLE
RLE is a prominent MIT research laboratory focused on advancing electronics, computer science, and related interdisciplinary fields.
 E122119 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: RLE | Statement: [MIT Research Laboratory of Electronics, shortName, RLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RLE
Context triple: [MIT Research Laboratory of Electronics, shortName, RLE]
  • A. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • B. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • C. ERL
    ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
  • D. DLE
    DLE is the commonly used abbreviation for the "Diccionario de la lengua española," the authoritative Spanish language dictionary published by the Royal Spanish Academy.
  • E. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • 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: RLE
Triple: [MIT Research Laboratory of Electronics, shortName, RLE]
Generated description
RLE is a prominent MIT research laboratory focused on advancing electronics, computer science, and related interdisciplinary fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RLE
Target entity description: RLE is a prominent MIT research laboratory focused on advancing electronics, computer science, and related interdisciplinary fields.
  • A. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • B. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • C. ERL
    ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
  • D. DLE
    DLE is the commonly used abbreviation for the "Diccionario de la lengua española," the authoritative Spanish language dictionary published by the Royal Spanish Academy.
  • E. CRL
    CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82a1014819085bfc077e24c9742 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc378fc8190846d5ffce73371dd completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3df28858819091c594a9cb2aab07 completed March 7, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e5b716c8190b95fde14ee6c434a completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.