Triple

T3739807
Position Surface form Disambiguated ID Type / Status
Subject Combo 1 E79670 entity
Predicate alsoKnownAs P39 FINISHED
Object SAE Combo
SAE Combo is a standardized combined AC/DC charging connector system used primarily for fast charging electric vehicles in North America and parts of Europe.
E383954 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: SAE Combo | Statement: [Combo 1, alsoKnownAs, SAE Combo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAE Combo
Context triple: [Combo 1, alsoKnownAs, SAE Combo]
  • A. SAE
    SAE is the commonly used abbreviation for the Society for the Anthropology of Europe, a scholarly organization focused on the anthropological study of European societies and cultures.
  • B. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • C. Holley
    Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
  • D. Cobb Offset
    Cobb Offset is a major transform fault system in the northeast Pacific Ocean that offsets segments of the Juan de Fuca Ridge.
  • E. Siemens Combino
    Siemens Combino is a low-floor modular tram family widely used in urban public transport systems around the world.
  • 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: SAE Combo
Triple: [Combo 1, alsoKnownAs, SAE Combo]
Generated description
SAE Combo is a standardized combined AC/DC charging connector system used primarily for fast charging electric vehicles in North America and parts of Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAE Combo
Target entity description: SAE Combo is a standardized combined AC/DC charging connector system used primarily for fast charging electric vehicles in North America and parts of Europe.
  • A. SAE
    SAE is the commonly used abbreviation for the Society for the Anthropology of Europe, a scholarly organization focused on the anthropological study of European societies and cultures.
  • B. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • C. Holley
    Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
  • D. Cobb Offset
    Cobb Offset is a major transform fault system in the northeast Pacific Ocean that offsets segments of the Juan de Fuca Ridge.
  • E. Siemens Combino
    Siemens Combino is a low-floor modular tram family widely used in urban public transport systems around the world.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbabb314819092dbd1ece83a894c completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9b80f8819083074657a32798a4 completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:34 p.m.