Triple

T6314232
Position Surface form Disambiguated ID Type / Status
Subject Appalachian State University E141574 entity
Predicate hasMascot P52 FINISHED
Object Yosef E137757 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: Yosef | Statement: [Appalachian State University, hasMascot, Yosef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yosef
Context triple: [Appalachian State University, hasMascot, Yosef]
  • A. Yosef chosen
    Yosef is a Hebrew given name of biblical origin, best known from the patriarch Joseph and widely used in Jewish communities.
  • B. Reuven
    Reuven is a Hebrew given name commonly used for males, notably borne by Israeli politician and former president Reuven Rivlin.
  • C. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • D. Binyamin
    Binyamin is a figure in Islamic and biblical tradition known as the younger brother of the prophet Yusuf (Joseph).
  • E. Yehuda
    Yehuda is a Hebrew given name traditionally associated with the biblical tribe of Judah and commonly used in Jewish communities.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a075dc8190acf7ec010cb4b00c completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e46feeec8190bdb39a48c92bacf1 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:28 p.m.