Triple

T6247495
Position Surface form Disambiguated ID Type / Status
Subject Second Mesa E139754 entity
Predicate hasVillage P4011 FINISHED
Object Shungopavi E157191 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: Shungopavi | Statement: [Second Mesa, hasVillage, Shungopavi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shungopavi
Context triple: [Second Mesa, hasVillage, Shungopavi]
  • A. Shungopavi chosen
    Shungopavi is a traditional Hopi village in northeastern Arizona known for its deep cultural significance and long-standing Indigenous heritage.
  • B. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • C. Veeragase
    Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
  • D. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631f511c81908d413320efdce42e completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5191599d0819098a1b20b9d680f4b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:23 p.m.