Triple

T3159395
Position Surface form Disambiguated ID Type / Status
Subject Iranian plateau E66067 entity
Predicate hasHighestPoint P210 FINISHED
Object Damavand E190544 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: Damavand | Statement: [Iranian plateau, hasHighestPoint, Damavand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damavand
Context triple: [Iranian plateau, hasHighestPoint, Damavand]
  • A. Mount Damavand chosen
    Mount Damavand is a prominent stratovolcano in northern Iran and the highest peak in the Middle East, revered in Persian mythology and a symbol of national identity.
  • B. Mount Ararat
    Mount Ararat is a prominent snow-capped volcanic massif in eastern Turkey traditionally revered as the resting place of Noah’s Ark and a powerful cultural and national symbol for Armenians.
  • C. Kel Adagh
    Kel Adagh is a Tuareg confederation traditionally inhabiting the mountainous Adrar des Ifoghas region of northeastern Mali and parts of the central Sahara.
  • D. Mount Kerkis
    Mount Kerkis is the highest and most rugged mountain on the Greek island of Samos, known for its dramatic limestone peaks and rich biodiversity.
  • E. Dykh-Tau
    Dykh-Tau is one of the highest and most prominent mountains in the Caucasus range, located on the border of Russia and Georgia.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ed82a08190a1bdcf18ee593c79 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250d2b8c81908585d9563f9b4d16 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.