Triple

T8720558
Position Surface form Disambiguated ID Type / Status
Subject Ensemble Immobilier Tour Maine-Montparnasse E206998 entity
Predicate shortName P43 FINISHED
Object EITMM
EITMM is the abbreviated name for the Ensemble Immobilier Tour Maine-Montparnasse, a major high-rise complex centered around the Montparnasse Tower in Paris.
 E754124 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: EITMM | Statement: [Ensemble Immobilier Tour Maine-Montparnasse, shortName, EITMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EITMM
Context triple: [Ensemble Immobilier Tour Maine-Montparnasse, shortName, EITMM]
  • A. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • B. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • C. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • D. IIMN
    IIMN is a premier Indian business school located in Nagpur, offering postgraduate and doctoral programs in management.
  • E. IMM
    IMM is a research organization focused on advancing molecular nanotechnology and atomically precise manufacturing.
  • 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: EITMM
Triple: [Ensemble Immobilier Tour Maine-Montparnasse, shortName, EITMM]
Generated description
EITMM is the abbreviated name for the Ensemble Immobilier Tour Maine-Montparnasse, a major high-rise complex centered around the Montparnasse Tower in Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EITMM
Target entity description: EITMM is the abbreviated name for the Ensemble Immobilier Tour Maine-Montparnasse, a major high-rise complex centered around the Montparnasse Tower in Paris.
  • A. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • B. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • C. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • D. IIMN
    IIMN is a premier Indian business school located in Nagpur, offering postgraduate and doctoral programs in management.
  • E. IMM
    IMM is a research organization focused on advancing molecular nanotechnology and atomically precise manufacturing.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd222b08190907ba7e98991996e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2fcb5e7c819086b441d1ef4fc368 completed April 3, 2026, 3:11 a.m.
Created at: March 30, 2026, 6:36 p.m.