Triple

T3380629
Position Surface form Disambiguated ID Type / Status
Subject Chilevisión E71173 entity
Predicate formerName P65 FINISHED
Object RTU
RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
 E353609 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: RTU | Statement: [Chilevisión, formerName, RTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTU
Context triple: [Chilevisión, formerName, RTU]
  • A. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • B. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • C. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • D. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • E. RQTC
    RQTC is the commonly used abbreviation for the Rose Quarter Transit Center, a major public transportation hub in Portland, Oregon.
  • 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: RTU
Triple: [Chilevisión, formerName, RTU]
Generated description
RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTU
Target entity description: RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • A. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • B. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • C. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • D. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • E. RQTC
    RQTC is the commonly used abbreviation for the Rose Quarter Transit Center, a major public transportation hub in Portland, Oregon.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e7c7f48190afb78c311b424c93 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344f9b448190aab1038ead60fa48 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b338147cc0819095f00b28910e178a completed March 12, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b338967c6c819090fe5f77bfa1978f completed March 12, 2026, 10:05 p.m.
Created at: March 8, 2026, 3:14 p.m.