Triple

T457979
Position Surface form Disambiguated ID Type / Status
Subject Altmark E7273 entity
Predicate placeOfLoss P3148 FINISHED
Object Yokohama E10676 NE FINISHED

How this triple was built (3 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: Yokohama | Statement: [Altmark, placeOfLoss, Yokohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama
Context triple: [Altmark, placeOfLoss, Yokohama]
  • A. Yokohama chosen
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • B. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • C. Tokyo
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • D. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • E. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfLoss
Context triple: [Altmark, placeOfLoss, Yokohama]
  • A. placeOfSinking chosen
    Indicates the location where an object or entity sank or was submerged.
  • B. landfallLocation
    Indicates the geographic location where a storm or similar weather system first makes landfall.
  • C. damagedIn
    Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
  • D. placeOfDeath
    Indicates the location where an entity (typically a person or animal) died.
  • E. damagedBy
    Indicates that one entity has caused harm, impairment, or deterioration to another entity.
  • F. None of above.

Provenance (4 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa3163081909acff040a22bd559 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad012ce1148190b1051239a44171b1 completed March 8, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69a2ede614b88190be07425f5535f56d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.