Triple

T14284781
Position Surface form Disambiguated ID Type / Status
Subject 港区 E354141 entity
Predicate locatedIn P40 FINISHED
Object 東京23区 E279238 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: 東京23区 | Statement: [港区, locatedIn, 東京23区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京23区
Context triple: [港区, locatedIn, 東京23区]
  • A. 東京都港区
    東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
  • B. Meguro Ward
    Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
  • C. Shibuya-ku
    Shibuya-ku is a major commercial and entertainment ward in central Tokyo, Japan, known for its bustling shopping districts, nightlife, and the iconic Shibuya Crossing.
  • D. Sumida ward
    Sumida ward is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its mix of traditional neighborhoods and modern urban development.
  • E. Tokyo 23 wards chosen
    Tokyo 23 wards is the core urban area of Tokyo, Japan, consisting of 23 special municipalities that together form the densely populated and administratively distinct heart of the metropolis.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd647daf448190a7a9e4ab432977c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:10 a.m.