Triple

T23113454
Position Surface form Disambiguated ID Type / Status
Subject Chemelot industrial complex E576383 entity
Predicate mainTenant P18754 FINISHED
Object DSM
DSM is a Dutch multinational company specializing in health, nutrition, and materials sciences.
E1570692 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: DSM | Statement: [Chemelot industrial complex, mainTenant, DSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSM
Context triple: [Chemelot industrial complex, mainTenant, DSM]
  • A. DSM
    DSM is an IBM tool for monitoring, administering, and tuning Db2 database environments through a web-based interface.
  • B. DSM
    The DSM is a high-level United States Army military decoration awarded for exceptionally meritorious service to the government in a duty of great responsibility.
  • C. DSM
    DSM is the ICAO airline designator assigned to LAN Argentina, a former Argentine subsidiary of LATAM Airlines Group.
  • D. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • E. DSM-5
    DSM-5 is the fifth edition of the American Psychiatric Association’s Diagnostic and Statistical Manual, serving as the primary reference for the classification and diagnosis of mental disorders.
  • 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: DSM
Triple: [Chemelot industrial complex, mainTenant, DSM]
Generated description
DSM is a Dutch multinational company specializing in health, nutrition, and materials sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DSM
Target entity description: DSM is a Dutch multinational company specializing in health, nutrition, and materials sciences.
  • A. DSM
    The DSM is a high-level United States Army military decoration awarded for exceptionally meritorious service to the government in a duty of great responsibility.
  • B. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • C. DSM
    DSM is an IBM tool for monitoring, administering, and tuning Db2 database environments through a web-based interface.
  • D. DSM
    DSM is the ICAO airline designator assigned to LAN Argentina, a former Argentine subsidiary of LATAM Airlines Group.
  • E. DSM-5
    DSM-5 is the fifth edition of the American Psychiatric Association’s Diagnostic and Statistical Manual, serving as the primary reference for the classification and diagnosis of mental disorders.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e1121c08190a1d29fe594071c46 completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23ec62f08190a4dda0d537a7b024 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:58 p.m.