Triple

T4182029
Position Surface form Disambiguated ID Type / Status
Subject Microsystems Technology Laboratories E88216 entity
Predicate shortName P43 FINISHED
Object MTL
MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
 E419436 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: MTL | Statement: [Microsystems Technology Laboratories, shortName, MTL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTL
Context triple: [Microsystems Technology Laboratories, shortName, MTL]
  • A. MTL
    MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
  • B. MTL
    MTL was the ISO 4217 currency code for the Maltese lira, the former national currency of Malta before adoption of the euro.
  • C. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • D. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • E. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • 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: MTL
Triple: [Microsystems Technology Laboratories, shortName, MTL]
Generated description
MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTL
Target entity description: MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
  • A. MTL
    MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
  • B. MTL
    MTL was the ISO 4217 currency code for the Maltese lira, the former national currency of Malta before adoption of the euro.
  • C. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • D. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • E. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0305e2e88190a51f176f8534f1f9 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fbcc5881908f245bb377082dcc completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58b22a1d88190a16e1c1e41291f5a completed March 14, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69b58b8bfb288190a097942b5b8c366e completed March 14, 2026, 4:23 p.m.
Created at: March 9, 2026, 3:45 p.m.