Triple

T2819052
Position Surface form Disambiguated ID Type / Status
Subject Segond 21 E54362 entity
Predicate hasAlternativeName P39 FINISHED
Object S21
S21, also known as Segond 21, is a French-language television channel that primarily broadcasts news and current affairs programming.
 E300947 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: S21 | Statement: [Segond 21, hasAlternativeName, S21]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S21
Context triple: [Segond 21, hasAlternativeName, S21]
  • A. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • B. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • C. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • D. S200
    S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
  • E. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • 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: S21
Triple: [Segond 21, hasAlternativeName, S21]
Generated description
S21, also known as Segond 21, is a French-language television channel that primarily broadcasts news and current affairs programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S21
Target entity description: S21, also known as Segond 21, is a French-language television channel that primarily broadcasts news and current affairs programming.
  • A. S2
    S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
  • B. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • C. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • D. S200
    S200 is a pair of large solid rocket boosters used on India's GSLV Mk III heavy-lift launch vehicle to provide its initial thrust at liftoff.
  • E. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde6d603c819081393a055698a214 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afcea4c994819095611958936cf090 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf12e3a0819098f28d31434a0c5f completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf9c2d308190b111aa8038c9227a completed March 10, 2026, 8 a.m.
Created at: March 6, 2026, 9:59 p.m.