Triple

T3420930
Position Surface form Disambiguated ID Type / Status
Subject Google Camera E72112 entity
Predicate hasFeature P182 FINISHED
Object AR Stickers
AR Stickers is a Google-developed augmented reality feature that lets users place interactive 3D characters and objects into their camera view for photos and videos.
 E357657 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: AR Stickers | Statement: [Google Camera, hasFeature, AR Stickers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AR Stickers
Context triple: [Google Camera, hasFeature, AR Stickers]
  • A. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • B. AR
    AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
  • C. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • D. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • E. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast 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: AR Stickers
Triple: [Google Camera, hasFeature, AR Stickers]
Generated description
AR Stickers is a Google-developed augmented reality feature that lets users place interactive 3D characters and objects into their camera view for photos and videos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AR Stickers
Target entity description: AR Stickers is a Google-developed augmented reality feature that lets users place interactive 3D characters and objects into their camera view for photos and videos.
  • A. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • B. AR
    AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
  • C. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • D. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • E. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94eb9e8819087a525df4550914b completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354701e908190a8a7f14ae578fa5d completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b358c7970881909b20126ba170495d completed March 13, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69b35930c3808190a3d9cbc69a26a1c1 completed March 13, 2026, 12:24 a.m.
Created at: March 8, 2026, 3:15 p.m.