Triple

T12297879
Position Surface form Disambiguated ID Type / Status
Subject MIT Recreation Pool and Fitness Center at Alumni/Wang E293135 entity
Predicate hasNameComponent P24447 FINISHED
Object Wang E426103 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: Wang | Statement: [MIT Recreation Pool and Fitness Center at Alumni/Wang, hasNameComponent, Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wang
Context triple: [MIT Recreation Pool and Fitness Center at Alumni/Wang, hasNameComponent, Wang]
  • A. Wang chosen
    Wang is a common Chinese surname shared by many notable figures across politics, arts, science, and sports.
  • B. Wang He
    Wang He was a military commander of the State of Qin during the Warring States period of ancient China, known for his role in the campaigns surrounding the Battle of Changping.
  • C. Wang Ben
    Wang Ben was a Qin dynasty general, traditionally regarded as the son of the famous general Wang Jian, who played a key role in the Qin unification of China.
  • D. Wang Ye
    Wang Ye is a collective title for powerful Taoist guardian deities, often venerated as royal lords who protect communities from misfortune and disease in Chinese folk religion.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7b88d08190a195a294a7fbd168 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.