Triple

T3070104
Position Surface form Disambiguated ID Type / Status
Subject Minato Mirai 21 E63998 entity
Predicate hasLandmark P105 FINISHED
Object MARK IS Minatomirai
MARK IS Minatomirai is a commercial complex in Yokohama’s Minato Mirai district, featuring offices, shops, and dining facilities.
 E324128 NE FINISHED

How this triple was built (4 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: MARK IS Minatomirai | Statement: [Minato Mirai 21, hasLandmark, MARK IS Minatomirai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MARK IS Minatomirai
Context triple: [Minato Mirai 21, hasLandmark, MARK IS Minatomirai]
  • A. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • B. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • C. Mark
    Mark is a punctuation symbol used in writing systems, including those that employ the Cyrillic Extended-B Unicode block.
  • D. Mark
    Mark is one of the four canonical Gospels in the New Testament, traditionally attributed to John Mark and known for its concise, fast-paced account of the life, ministry, death, and resurrection of Jesus Christ.
  • E. Mark
    Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with figures such as the evangelist Saint Mark.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MARK IS Minatomirai
Triple: [Minato Mirai 21, hasLandmark, MARK IS Minatomirai]
Generated description
MARK IS Minatomirai is a commercial complex in Yokohama’s Minato Mirai district, featuring offices, shops, and dining facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MARK IS Minatomirai
Target entity description: MARK IS Minatomirai is a commercial complex in Yokohama’s Minato Mirai district, featuring offices, shops, and dining facilities.
  • A. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • B. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • C. Mark
    Mark is a punctuation symbol used in writing systems, including those that employ the Cyrillic Extended-B Unicode block.
  • D. Mark
    Mark is one of the four canonical Gospels in the New Testament, traditionally attributed to John Mark and known for its concise, fast-paced account of the life, ministry, death, and resurrection of Jesus Christ.
  • E. Mark
    Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with figures such as the evangelist Saint Mark.
  • F. None of above. chosen

Provenance (5 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada100f0b8819095da366fdc6803a8 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87f6a3881908ae313f62ff13159 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f908ee3081909126bc3797658fca completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1f99f7aec8190bb35ef4ddf64735c completed March 11, 2026, 11:24 p.m.
Created at: March 8, 2026, 3:02 p.m.