Triple

T11068138
Position Surface form Disambiguated ID Type / Status
Subject Southern Tat E261676 entity
Predicate hasDialect P4251 FINISHED
Object Quba Tat E233176 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: Quba Tat | Statement: [Southern Tat, hasDialect, Quba Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quba Tat
Context triple: [Southern Tat, hasDialect, Quba Tat]
  • A. Quba
    Quba is a historic village near Medina in present-day Saudi Arabia, renowned as the site of the first mosque in Islam and an early stop during the Prophet Muhammad’s migration (Hijrah).
  • B. Quba chosen
    Quba is a historic city in northeastern Azerbaijan known for its traditional carpet weaving, scenic mountain setting, and cultural significance in the Quba region.
  • C. Musa Qala
    Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
  • D. Bahjí
    Bahjí is a historic estate near Acre in present-day Israel that serves as the most sacred site in the Baháʼí Faith, housing the Shrine of Baháʼu'lláh.
  • E. Tajrish
    Tajrish is a historic and bustling neighborhood in northern Tehran known for its traditional bazaar, central square, and proximity to the Alborz Mountains.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8a4cdb8819080765d746f477089 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.