Triple

T11581199
Position Surface form Disambiguated ID Type / Status
Subject DZBB-TV E274628 entity
Predicate sisterStation P15137 FINISHED
Object DWLS
DWLS is a major FM radio station in the Philippines operated by GMA Network, known for its popular music and entertainment programming.
E934721 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: DWLS | Statement: [DZBB-TV, sisterStation, DWLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DWLS
Context triple: [DZBB-TV, sisterStation, DWLS]
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. DWS
    DWS is a historic Amsterdam football club that competed in the Dutch leagues and once played its home matches at the Olympic Stadium.
  • C. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • D. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • E. DW
    DW is the abbreviation for Deutsche Werft AG, a former German shipbuilding company based in Hamburg.
  • 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: DWLS
Triple: [DZBB-TV, sisterStation, DWLS]
Generated description
DWLS is a major FM radio station in the Philippines operated by GMA Network, known for its popular music and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DWLS
Target entity description: DWLS is a major FM radio station in the Philippines operated by GMA Network, known for its popular music and entertainment programming.
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. DWS
    DWS is a historic Amsterdam football club that competed in the Dutch leagues and once played its home matches at the Olympic Stadium.
  • C. WLD
    WLD is the native cryptocurrency token of the Worldcoin project, used for governance, incentives, and participation within its identity and financial ecosystem.
  • D. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • E. DW
    DW is the abbreviation for Deutsche Werft AG, a former German shipbuilding company based in Hamburg.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720fb192881909c129f93c8b88f42 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e7233efb6c81909dbf1aef080f5598 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.