Triple

T3660736
Position Surface form Disambiguated ID Type / Status
Subject Pixel 3a E77640 entity
Predicate locationServices P50216 FINISHED
Object BeiDou E141895 NE FINISHED

How this triple was built (2 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: BeiDou | Statement: [Pixel 3a, locationServices, BeiDou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BeiDou
Context triple: [Pixel 3a, locationServices, BeiDou]
  • A. BeiDou chosen
    BeiDou is China's satellite-based global navigation system that serves as an alternative to and competitor of GPS.
  • B. Galileo satellite navigation system
    The Galileo satellite navigation system is the European Union’s global navigation satellite system designed to provide highly accurate positioning and timing services worldwide as an independent alternative to GPS and other GNSS constellations.
  • C. Tianhe
    Tianhe is the core module of China’s Tiangong space station, serving as its main control, living, and docking hub in low Earth orbit.
  • D. Tianhe
    Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
  • E. Tsinan
    Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d6fa188190a6db5bdae7083573 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48844a380819084c4627a95b4cb3c completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.