Triple

T18600929
Position Surface form Disambiguated ID Type / Status
Subject Startup.com E454616 entity
Predicate subject P450 FINISHED
Object GovWorks
GovWorks was a late-1990s dot-com startup that attempted to build an online platform for citizens to manage local government services, and became widely known through the documentary film "Startup.com."
 E1333504 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: GovWorks | Statement: [Startup.com, subject, GovWorks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GovWorks
Context triple: [Startup.com, subject, GovWorks]
  • A. GOV
    GOV is the National Rail station code used to identify Govan subway station in Glasgow, Scotland.
  • B. GOV
    GOV is the IATA airport code for Gove Airport, a regional airport serving the Gove Peninsula in the Northern Territory of Australia.
  • C. GOV
    GOV is an honorific suffix used in the United Kingdom to denote a Governor, particularly in formal titles such as that of a central bank governor.
  • D. BGOV
    BGOV is Bloomberg Government’s specialized platform providing data-driven news, analysis, and tools focused on U.S. federal policy, legislation, and government contracting.
  • E. EGOV
    EGOV is the ICAO airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • 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: GovWorks
Triple: [Startup.com, subject, GovWorks]
Generated description
GovWorks was a late-1990s dot-com startup that attempted to build an online platform for citizens to manage local government services, and became widely known through the documentary film "Startup.com."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GovWorks
Target entity description: GovWorks was a late-1990s dot-com startup that attempted to build an online platform for citizens to manage local government services, and became widely known through the documentary film "Startup.com."
  • A. GOV
    GOV is the IATA airport code for Gove Airport, a regional airport serving the Gove Peninsula in the Northern Territory of Australia.
  • B. GOV
    GOV is the National Rail station code used to identify Govan subway station in Glasgow, Scotland.
  • C. GOV
    GOV is an honorific suffix used in the United Kingdom to denote a Governor, particularly in formal titles such as that of a central bank governor.
  • D. BGOV
    BGOV is Bloomberg Government’s specialized platform providing data-driven news, analysis, and tools focused on U.S. federal policy, legislation, and government contracting.
  • E. EGOV
    EGOV is the ICAO airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5475112608190acacc5ac7a08c4a0 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050381bacc81909f416e8b9910f046 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504ff8c6c8190a211b3f3e30229b4 completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505606bf88190afe635b2517d170b completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:45 a.m.