Triple

T8482405
Position Surface form Disambiguated ID Type / Status
Subject Go E200551 entity
Predicate hasAlternativeName P39 FINISHED
Object Igo
Igo is the Japanese name for the ancient strategic board game known internationally as Go, played with black and white stones on a grid to control territory.
 E736785 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: Igo | Statement: [Go, hasAlternativeName, Igo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Igo
Context triple: [Go, hasAlternativeName, Igo]
  • A. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • B. Takarano
    Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
  • C. Takarano
    Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
  • D. Rijō
    Rijō is the Japanese feudal-era castle in Hiroshima, historically the seat of the powerful Hiroshima Domain and a notable example of a flatland castle.
  • E. Kanemoto
    Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
  • 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: Igo
Triple: [Go, hasAlternativeName, Igo]
Generated description
Igo is the Japanese name for the ancient strategic board game known internationally as Go, played with black and white stones on a grid to control territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Igo
Target entity description: Igo is the Japanese name for the ancient strategic board game known internationally as Go, played with black and white stones on a grid to control territory.
  • A. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • B. Takarano
    Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
  • C. Takarano
    Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
  • D. Rijō
    Rijō is the Japanese feudal-era castle in Hiroshima, historically the seat of the powerful Hiroshima Domain and a notable example of a flatland castle.
  • E. Kanemoto
    Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b4008a0819096bb44b46f510213 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:12 p.m.