Triple

T13105269
Position Surface form Disambiguated ID Type / Status
Subject SAM.gov E310827 entity
Predicate integrates P1075 FINISHED
Object WDOL
WDOL (Wage Determinations OnLine) was a U.S. government website that provided federal contracting wage determinations before its functions were consolidated into SAM.gov.
E1023340 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: WDOL | Statement: [SAM.gov, integrates, WDOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WDOL
Context triple: [SAM.gov, integrates, WDOL]
  • A. WRBW
    WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • B. WXLO
    WXLO is a commercial FM radio station serving the Worcester and greater Central Massachusetts area with contemporary hit music programming.
  • C. WFLD
    WFLD is a Fox-owned television station serving the Chicago, Illinois market.
  • D. DWLS 97.1
    DWLS 97.1 is a major Philippine FM radio station in Metro Manila operated by GMA Network, known for its mass-oriented music and entertainment programming.
  • E. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • 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: WDOL
Triple: [SAM.gov, integrates, WDOL]
Generated description
WDOL (Wage Determinations OnLine) was a U.S. government website that provided federal contracting wage determinations before its functions were consolidated into SAM.gov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WDOL
Target entity description: WDOL (Wage Determinations OnLine) was a U.S. government website that provided federal contracting wage determinations before its functions were consolidated into SAM.gov.
  • A. WRBW
    WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • B. WXLO
    WXLO is a commercial FM radio station serving the Worcester and greater Central Massachusetts area with contemporary hit music programming.
  • C. WFLD
    WFLD is a Fox-owned television station serving the Chicago, Illinois market.
  • D. DWLS 97.1
    DWLS 97.1 is a major Philippine FM radio station in Metro Manila operated by GMA Network, known for its mass-oriented music and entertainment programming.
  • E. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e6a8b15081908d80cd63b0c423f6 completed May 3, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_69f6e7490cc48190b596338cd3a0fd22 completed May 3, 2026, 6:12 a.m.
Created at: April 9, 2026, 9:05 p.m.