Triple

T22028134
Position Surface form Disambiguated ID Type / Status
Subject Jitsi E544016 entity
Predicate component P35 FINISHED
Object Jigasi
Jigasi is a Jitsi gateway service that enables SIP-based telephony integration with Jitsi Meet conferences.
 E1514715 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: Jigasi | Statement: [Jitsi, component, Jigasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jigasi
Context triple: [Jitsi, component, Jigasi]
  • A. Jimo
    Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
  • B. Geikie
    Geikie is a Scottish surname most notably associated with Archibald Geikie, a prominent 19th-century geologist and director of the British Geological Survey.
  • C. Jisp
    Jisp is a small village in the Dutch province of North Holland, known for its historic wooden houses and traditional polder landscape.
  • D. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • E. Shubunka
    Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
  • 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: Jigasi
Triple: [Jitsi, component, Jigasi]
Generated description
Jigasi is a Jitsi gateway service that enables SIP-based telephony integration with Jitsi Meet conferences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jigasi
Target entity description: Jigasi is a Jitsi gateway service that enables SIP-based telephony integration with Jitsi Meet conferences.
  • A. Jimo
    Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
  • B. Geikie
    Geikie is a Scottish surname most notably associated with Archibald Geikie, a prominent 19th-century geologist and director of the British Geological Survey.
  • C. Jisp
    Jisp is a small village in the Dutch province of North Holland, known for its historic wooden houses and traditional polder landscape.
  • D. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • E. Shubunka
    Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cdf5c08190ac804664d6e56fe2 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738ada68819098355c1953b9c3cc completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74e81da881908c73d864258dcdd5 completed May 18, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75cbb2408190b058713432b048a2 completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:24 p.m.