Triple

T17662927
Position Surface form Disambiguated ID Type / Status
Subject Obayashi Corporation E440296 entity
Predicate alsoKnownAs P39 FINISHED
Object Obayashi
Obayashi is a major Japanese construction and engineering company known for building large-scale infrastructure and landmark projects worldwide.
E1344352 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: Obayashi | Statement: [Obayashi Corporation, alsoKnownAs, Obayashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obayashi
Context triple: [Obayashi Corporation, alsoKnownAs, Obayashi]
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. Ryoji
    Ryoji is a Japanese given name commonly used for males.
  • E. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • 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: Obayashi
Triple: [Obayashi Corporation, alsoKnownAs, Obayashi]
Generated description
Obayashi is a major Japanese construction and engineering company known for building large-scale infrastructure and landmark projects worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Obayashi
Target entity description: Obayashi is a major Japanese construction and engineering company known for building large-scale infrastructure and landmark projects worldwide.
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. Ryoji
    Ryoji is a Japanese given name commonly used for males.
  • E. Naoyoshi
    Naoyoshi is a Japanese given name commonly used for males.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea73c90819087a23a7b6171f581 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055ba649d08190bb093403ebe90d38 completed May 14, 2026, 5:20 a.m.
NEDg Description generation batch_6a055e5bd32881908503c0a6131196b2 completed May 14, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a055f0b0c8881908c2448b0c516653e completed May 14, 2026, 5:35 a.m.
Created at: April 10, 2026, 9:51 a.m.