Triple

T10142025
Position Surface form Disambiguated ID Type / Status
Subject Bách Khoa campus E231604 entity
Predicate hasAlternativeName P39 FINISHED
Object HUST main campus E212827 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: HUST main campus | Statement: [Bách Khoa campus, hasAlternativeName, HUST main campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HUST main campus
Context triple: [Bách Khoa campus, hasAlternativeName, HUST main campus]
  • A. Jiang’an Campus
    Jiang’an Campus is one of the main campuses of Sichuan University, located in Chengdu and known for its modern facilities and expansive grounds.
  • B. HUST chosen
    HUST is a leading Vietnamese technical university renowned for its engineering, science, and technology education and research.
  • C. Houhai campus
    Houhai campus is one of the main campuses of Shenzhen University, located in Shenzhen’s coastal Houhai area and known for its modern facilities and urban setting.
  • D. Huaxi Campus
    Huaxi Campus is a major campus of Sichuan University in Chengdu, known for its concentration of medical and health sciences faculties and affiliated hospitals.
  • E. Gulou Campus
    Gulou Campus is the historic main campus of Nanjing University, located in the central Gulou District of Nanjing, China.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.