Triple

T3426595
Position Surface form Disambiguated ID Type / Status
Subject CalDAV E72241 entity
Predicate typicalServer P34890 FINISHED
Object DAViCal
DAViCal is an open-source CalDAV server application used for managing and sharing calendar data over the web.
 E356352 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: DAViCal | Statement: [CalDAV, typicalServer, DAViCal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAViCal
Context triple: [CalDAV, typicalServer, DAViCal]
  • A. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • B. Vumerity
    Vumerity is an oral prescription medication used to treat relapsing forms of multiple sclerosis in adults.
  • C. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • D. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: DAViCal
Triple: [CalDAV, typicalServer, DAViCal]
Generated description
DAViCal is an open-source CalDAV server application used for managing and sharing calendar data over the web.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAViCal
Target entity description: DAViCal is an open-source CalDAV server application used for managing and sharing calendar data over the web.
  • A. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • B. Vumerity
    Vumerity is an oral prescription medication used to treat relapsing forms of multiple sclerosis in adults.
  • C. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • D. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb982792c8190b1163eee4252210f completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35478448481908e1c0f717d99f992 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b35546dfa0819081800009fbe8afe3 completed March 13, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69b355cecc4c81908ecb5f83e89b4a00 completed March 13, 2026, 12:09 a.m.
Created at: March 8, 2026, 3:15 p.m.