Triple

T16362403
Position Surface form Disambiguated ID Type / Status
Subject Taif Rose Festival E397346 entity
Predicate locatedIn P40 FINISHED
Object Taif E87275 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: Taif | Statement: [Taif Rose Festival, locatedIn, Taif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taif
Context triple: [Taif Rose Festival, locatedIn, Taif]
  • A. Taif chosen
    Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
  • B. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • C. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • D. Aiga-i-le-Tai
    Aiga-i-le-Tai is a rural district on the island of Upolu in Samoa that includes coastal villages and the country’s main international airport.
  • E. Suwawa
    Suwawa is an Austronesian language spoken by the Suwawa people in the northern part of Sulawesi, Indonesia.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff39f8308190865d024734992a76 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9c8de4819093ae3901cf0c8805 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:08 a.m.