Triple

T4630259
Position Surface form Disambiguated ID Type / Status
Subject Frosinone E101395 entity
Predicate twinnedWith P1072 FINISHED
Object Nishinoomote E526829 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: Nishinoomote | Statement: [Frosinone, twinnedWith, Nishinoomote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishinoomote
Context triple: [Frosinone, twinnedWith, Nishinoomote]
  • A. Nishinoomote chosen
    Nishinoomote is a coastal city on Tanegashima Island in Kagoshima Prefecture, Japan, known for its proximity to Japan’s main space launch facilities and its subtropical island scenery.
  • B. Hatanodai
    Hatanodai is a residential neighborhood in Tokyo, Japan, known for its local shopping streets and convenient rail connections.
  • C. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • D. Urasoe
    Urasoe is a coastal city on the island of Okinawa in Japan, known for its historical sites, residential areas, and proximity to the prefectural capital Naha.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a316ef48190831970ec914cf5a2 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff4a84e5881908df112c3a405bbde completed March 22, 2026, 1:54 p.m.
Created at: March 20, 2026, 1:13 p.m.