Triple

T4782168
Position Surface form Disambiguated ID Type / Status
Subject Vali E106391 entity
Predicate sceneOfDeath P34448 FINISHED
Object Kishkindha forest E232314 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: Kishkindha forest | Statement: [Vali, sceneOfDeath, Kishkindha forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishkindha forest
Context triple: [Vali, sceneOfDeath, Kishkindha forest]
  • A. Karura Forest
    Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
  • B. Herekino Forest
    Herekino Forest is a native forest area in New Zealand known for its coastal hill landscapes and indigenous flora and fauna in the Far North.
  • C. Dandakaranya forest chosen
    Dandakaranya forest is a vast, sparsely populated forested region in central-eastern India, historically associated with tribal communities, insurgent activity, and significant socio-political conflict.
  • D. Kologha Forest
    Kologha Forest is one of South Africa’s largest indigenous forests, known for its dense evergreen canopy, rich biodiversity, and scenic hiking and cycling trails in the Eastern Cape.
  • E. Qechresh forest
    Qechresh Forest is a scenic woodland area in Azerbaijan known for its lush greenery, cool climate, and popularity as a nature retreat for picnics and outdoor recreation.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65abd0a08190937102c44d102f12 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43d72e3881909184aeee29b623a0 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.