Triple

T11223142
Position Surface form Disambiguated ID Type / Status
Subject Bucoda, Washington E265622 entity
Predicate hasFormerName P65 FINISHED
Object Seatco
Seatco was the former name of the small town now known as Bucoda in Thurston County, Washington, historically associated with early settlement and local coal mining.
 E912183 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: Seatco | Statement: [Bucoda, Washington, hasFormerName, Seatco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seatco
Context triple: [Bucoda, Washington, hasFormerName, Seatco]
  • A. Webscoe Industries
    Webscoe Industries is a powerful, fictional multinational conglomerate owned by the villainous tycoon Ross Webster in the film "Superman III."
  • B. PavCo
    PavCo is a British Columbia Crown corporation that owns and operates major convention and sports facilities such as BC Place Stadium and the Vancouver Convention Centre.
  • C. Capco
    Capco is a global management and technology consultancy specializing in the financial services industry.
  • D. SEMCO
    SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
  • E. Scomi Engineering
    Scomi Engineering is a Malaysian engineering company known for designing and supplying monorail systems and related urban transport solutions.
  • 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: Seatco
Triple: [Bucoda, Washington, hasFormerName, Seatco]
Generated description
Seatco was the former name of the small town now known as Bucoda in Thurston County, Washington, historically associated with early settlement and local coal mining.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seatco
Target entity description: Seatco was the former name of the small town now known as Bucoda in Thurston County, Washington, historically associated with early settlement and local coal mining.
  • A. Webscoe Industries
    Webscoe Industries is a powerful, fictional multinational conglomerate owned by the villainous tycoon Ross Webster in the film "Superman III."
  • B. PavCo
    PavCo is a British Columbia Crown corporation that owns and operates major convention and sports facilities such as BC Place Stadium and the Vancouver Convention Centre.
  • C. Capco
    Capco is a global management and technology consultancy specializing in the financial services industry.
  • D. SEMCO
    SEMCO is the brand name used by Samsung Electro-Mechanics for its electronic components and related technologies.
  • E. Scomi Engineering
    Scomi Engineering is a Malaysian engineering company known for designing and supplying monorail systems and related urban transport solutions.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ec8fb08190b27144ab65f85957 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4978389848190ac5a8b985bbea15f completed April 19, 2026, 8:51 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.