Triple

T122897
Position Surface form Disambiguated ID Type / Status
Subject Pixel smartphones E2485 entity
Predicate feature P374 FINISHED
Object Live Translate
Live Translate is a Google Pixel feature that provides real-time translation of speech, text, and on-screen content directly on the device.
 E13763 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: Live Translate | Statement: [Pixel smartphones, feature, Live Translate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Live Translate
Context triple: [Pixel smartphones, feature, Live Translate]
  • A. Google Translate
    Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
  • B. English Bridge
    English Bridge is a historic stone arch bridge spanning the River Severn in Shrewsbury, Shropshire, England.
  • C. Paipai language
    The Paipai language is an indigenous Yuman language spoken by the Paipai people of northern Baja California, Mexico, and is considered highly endangered.
  • D. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • 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: Live Translate
Triple: [Pixel smartphones, feature, Live Translate]
Generated description
Live Translate is a Google Pixel feature that provides real-time translation of speech, text, and on-screen content directly on the device.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Live Translate
Target entity description: Live Translate is a Google Pixel feature that provides real-time translation of speech, text, and on-screen content directly on the device.
  • A. Google Translate chosen
    Google Translate is a multilingual neural machine translation service by Google that instantly converts text, speech, images, and web pages between numerous languages.
  • B. English Bridge
    English Bridge is a historic stone arch bridge spanning the River Severn in Shrewsbury, Shropshire, England.
  • C. Paipai language
    The Paipai language is an indigenous Yuman language spoken by the Paipai people of northern Baja California, Mexico, and is considered highly endangered.
  • D. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • F. None of above.

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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a2573b4e7481909ee09d2899f8a74b completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e494ef08190b8c5b5f8d52251c8 completed Feb. 28, 2026, 7:50 a.m.
NEDg Description generation batch_69a29eb86f5c819081da2fd6275d6f78 completed Feb. 28, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69a2a04c4cc88190b8741fa48a158dc2 completed Feb. 28, 2026, 7:59 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.