Triple

T11509887
Position Surface form Disambiguated ID Type / Status
Subject Kalam E272880 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Ushu Forest E697339 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: Ushu Forest | Statement: [Kalam, hasNearbyAttraction, Ushu Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ushu Forest
Context triple: [Kalam, hasNearbyAttraction, Ushu Forest]
  • A. Ushu Forest chosen
    Ushu Forest is a scenic alpine woodland near Kalam in Pakistan’s Swat Valley, known for its dense conifer trees, riverside landscapes, and popularity as a nature and picnic spot.
  • B. Dodowa Forest
    Dodowa Forest is a historic woodland area in Ghana noted for its rich biodiversity and cultural significance, including sites linked to the 1826 Katamanso war.
  • C. Wehea–Kelay Forest
    Wehea–Kelay Forest is a biodiverse tropical rainforest area in East Kalimantan, Indonesian Borneo, recognized for its rich wildlife and conservation importance.
  • D. Mau Forest
    Mau Forest is a vast montane forest complex in Kenya known for its critical role as a water catchment area and as a traditional homeland for indigenous communities.
  • E. Dandaka forest
    Dandaka forest is a vast and perilous wilderness in the Indian epic Ramayana, where Rama, Sita, and Lakshmana spend much of their exile and encounter demons and sages.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db65eb081908613a1002c6a4fb4 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.