Triple

T14090919
Position Surface form Disambiguated ID Type / Status
Subject National Tsing Hua University E339127 entity
Predicate foundingYearInMainlandChina P41 FINISHED
Object 1911 LITERAL 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: 1911 | Statement: [National Tsing Hua University, foundingYearInMainlandChina, 1911]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foundingYearInMainlandChina
Context triple: [National Tsing Hua University, foundingYearInMainlandChina, 1911]
  • A. reunifiedAsCapitalInYear
    Indicates that an entity regained its status as a capital city in a specified year after a period of not holding that status.
  • B. isFoundedOn
    Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
  • C. foundedOn chosen
    Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
  • D. hasDynastyFounded
    Indicates that an entity is the founder or originator of a particular dynasty.
  • E. governingBodyFoundedIn
    Indicates that a governing body was established or came into official existence in a specified year or time period.
  • F. None of above.

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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69de05b0e6c88190a819eeba0028981f completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:21 p.m.