Triple

T18250798
Position Surface form Disambiguated ID Type / Status
Subject Beach Cities Transit E437084 entity
Predicate connectsWith P37 FINISHED
Object GTrans NE NERFINISHED

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: GTrans | Statement: [Beach Cities Transit, connectsWith, GTrans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTrans
Context triple: [Beach Cities Transit, connectsWith, GTrans]
  • A. GTrans chosen
    GTrans is a public bus transit system serving the city of Gardena and surrounding areas in Los Angeles County, California.
  • B. 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.
  • C. Yandex Translate
    Yandex Translate is an online machine translation service by Yandex that supports multiple languages for text, website, and document translation.
  • D. Papago
    Papago is an older name for the Tohono O'odham, a Native American people indigenous to the Sonoran Desert region of the southwestern United States and northern Mexico.
  • E. Live Translate
    Live Translate is a Pixel-exclusive Android feature that provides on-device, real-time translation for text, audio, and conversations across apps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8124648190ae7fc9f1fc5cf9bd completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.