Triple

T8848881
Position Surface form Disambiguated ID Type / Status
Subject Isernia E210581 entity
Predicate hasRegionCode P3446 FINISHED
Object IT-MOL
IT-MOL is the Italian region code for Molise, a small region in southern Italy.
 E761200 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: IT-MOL | Statement: [Isernia, hasRegionCode, IT-MOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IT-MOL
Context triple: [Isernia, hasRegionCode, IT-MOL]
  • A. Mol
    Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
  • B. MOLIT
    MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
  • C. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • D. MOF
    MOF is the central government agency of the People's Republic of China responsible for national fiscal policy, public budgeting, and management of state financial resources.
  • E. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • 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: IT-MOL
Triple: [Isernia, hasRegionCode, IT-MOL]
Generated description
IT-MOL is the Italian region code for Molise, a small region in southern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IT-MOL
Target entity description: IT-MOL is the Italian region code for Molise, a small region in southern Italy.
  • A. Mol
    Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
  • B. MOLIT
    MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
  • C. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • D. MOF
    MOF is the central government agency of the People's Republic of China responsible for national fiscal policy, public budgeting, and management of state financial resources.
  • E. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89c6788881908d6f5c49434b556d completed April 3, 2026, 9:35 a.m.
NEDg Description generation batch_69cf8ab7da348190b423f0768fe9dc1a completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bd252a4819098891bbb67baf897 completed April 3, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:49 p.m.