Triple

T3364911
Position Surface form Disambiguated ID Type / Status
Subject Chiyoda E70810 entity
Predicate borders P224 FINISHED
Object Taitō E34802 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: Taitō | Statement: [Chiyoda, borders, Taitō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitō
Context triple: [Chiyoda, borders, Taitō]
  • A. Taitō chosen
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • B. Inari Ōkami
    Inari Ōkami is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits, widely revered at thousands of shrines across Japan.
  • C. Rootabaga Stories
    Rootabaga Stories is a whimsical collection of American fairy tales for children by poet Carl Sandburg, known for its imaginative language and Midwestern folk flavor.
  • D. Ori
    Ori is the official three-letter IAU abbreviation for the constellation Orion, one of the most recognizable star patterns in the night sky.
  • E. Tairiku Datsū Sakusen
    Tairiku Datsū Sakusen was a major 1944 Japanese military offensive in China during World War II, aimed at securing railways, destroying U.S. air bases, and linking Japanese-held territories.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28643f48190b78b0222f8323344 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3254daf8c8190b2141682503c111e completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.