Triple

T21122074
Position Surface form Disambiguated ID Type / Status
Subject Modulo Sperimentale Elettromeccanico E520456 entity
Predicate hasAcronym P43 FINISHED
Object MOSE
MOSE is a large-scale flood protection system of movable barriers designed to safeguard Venice and its lagoon from high tides and storm surges.
 E1467278 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: MOSE | Statement: [Modulo Sperimentale Elettromeccanico, hasAcronym, MOSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOSE
Context triple: [Modulo Sperimentale Elettromeccanico, hasAcronym, MOSE]
  • A. MOIS
    MOIS is the acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency responsible for domestic and foreign intelligence operations.
  • B. MOSB
    MOSB is an abbreviation for the Military Order of the Stars and Bars, a heritage organization composed primarily of descendants of Confederate officers and officials.
  • C. MOS
    MOS is the railway station code assigned to Moss Station, a train station in Moss, Norway.
  • D. Mou
    Mou is a popular nickname for José Mourinho, the renowned Portuguese football manager famously dubbed "The Special One."
  • E. MOHESR
    MOHESR is Iraq’s governmental body responsible for overseeing higher education institutions and scientific research policy and development.
  • 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: MOSE
Triple: [Modulo Sperimentale Elettromeccanico, hasAcronym, MOSE]
Generated description
MOSE is a large-scale flood protection system of movable barriers designed to safeguard Venice and its lagoon from high tides and storm surges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOSE
Target entity description: MOSE is a large-scale flood protection system of movable barriers designed to safeguard Venice and its lagoon from high tides and storm surges.
  • A. MOIS
    MOIS is the acronym for Iran’s Ministry of Intelligence, the country’s primary intelligence and security agency responsible for domestic and foreign intelligence operations.
  • B. MOSB
    MOSB is an abbreviation for the Military Order of the Stars and Bars, a heritage organization composed primarily of descendants of Confederate officers and officials.
  • C. MOS
    MOS is the railway station code assigned to Moss Station, a train station in Moss, Norway.
  • D. Mou
    Mou is a popular nickname for José Mourinho, the renowned Portuguese football manager famously dubbed "The Special One."
  • E. MOHESR
    MOHESR is Iraq’s governmental body responsible for overseeing higher education institutions and scientific research policy and development.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223587008190a2b35ea06cf6508b completed April 21, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e9aab88190ae07e2d457950c51 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966879f08819096d6e9e7abe902c5 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a09670fc80c81909cbce03b5e071428 completed May 17, 2026, 6:58 a.m.
Created at: April 16, 2026, 2:55 p.m.