Triple

T21254126
Position Surface form Disambiguated ID Type / Status
Subject Rostam-e Dastan E523820 entity
Predicate companion P2932 FINISHED
Object Rakhsh NE NERFINISHED

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: Rakhsh | Statement: [Rostam-e Dastan, companion, Rakhsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakhsh
Context triple: [Rostam-e Dastan, companion, Rakhsh]
  • A. Rakhsh chosen
    Rakhsh is the legendary, powerful warhorse of the Persian hero Rostam in the epic Shahnameh.
  • B. Rakhiot
    Rakhiot is a small settlement in northern Pakistan located near Nanga Parbat, serving as a base for treks and climbs on the mountain’s Rakhiot Face.
  • C. Mukhrani
    Mukhrani is a historic region in eastern Georgia known as the ancestral domain of the princely House of Mukhrani, a branch of the Bagrationi royal dynasty.
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Khuzhir
    Khuzhir is the main village and tourist hub on Olkhon Island in Lake Baikal, Russia, known for its proximity to the sacred Shaman Rock and dramatic Siberian landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0391881908e45909e939415a5 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.