Triple

T15589659
Position Surface form Disambiguated ID Type / Status
Subject Competition Commission E374709 entity
Predicate shortName P43 FINISHED
Object COMCO
COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
E1165179 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: COMCO | Statement: [Competition Commission, shortName, COMCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COMCO
Context triple: [Competition Commission, shortName, COMCO]
  • A. SEMCO
    SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
  • B. Scomi Engineering
    Scomi Engineering is a Malaysian engineering company known for designing and supplying monorail systems and related urban transport solutions.
  • C. Comnidyne
    Comnidyne is the fictional corporation where Kevin Spacey’s character Dave Harken works as a tyrannical boss in the comedy film "Horrible Bosses."
  • D. RobCo Industries
    RobCo Industries is a prominent pre-war technology corporation in the Fallout universe, best known for producing advanced robotics, terminals, and personal computing devices.
  • E. Comeng
    Comeng is an Australian engineering and rolling stock manufacturing company best known for producing trains and other rail vehicles used across the country.
  • 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: COMCO
Triple: [Competition Commission, shortName, COMCO]
Generated description
COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COMCO
Target entity description: COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
  • A. SEMCO
    SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
  • B. Scomi Engineering
    Scomi Engineering is a Malaysian engineering company known for designing and supplying monorail systems and related urban transport solutions.
  • C. Comnidyne
    Comnidyne is the fictional corporation where Kevin Spacey’s character Dave Harken works as a tyrannical boss in the comedy film "Horrible Bosses."
  • D. RobCo Industries
    RobCo Industries is a prominent pre-war technology corporation in the Fallout universe, best known for producing advanced robotics, terminals, and personal computing devices.
  • E. Comeng
    Comeng is an Australian engineering and rolling stock manufacturing company best known for producing trains and other rail vehicles used across the country.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c53617c8190b4367eee351dc025 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d5de6ec8190ab82ac78bb70a432 completed May 9, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff4dd868388190a159618c1fdcf15c completed May 9, 2026, 3:08 p.m.
Created at: April 10, 2026, 4:11 a.m.