Triple

T17087153
Position Surface form Disambiguated ID Type / Status
Subject Swatis E414627 entity
Predicate primaryRegion P1103 FINISHED
Object Swat E52132 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: Swat | Statement: [Swatis, primaryRegion, Swat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swat
Context triple: [Swatis, primaryRegion, Swat]
  • A. Swat chosen
    Swat is a picturesque valley and administrative district in northern Pakistan, renowned for its lush landscapes, historical Buddhist sites, and role as a major tourist destination in Khyber Pakhtunkhwa.
  • B. SWAT
    SWAT is the Los Angeles Police Department’s elite tactical unit specializing in high-risk operations such as hostage rescues, counterterrorism, and armed standoffs.
  • C. S.W.A.T.
    S.W.A.T. is a 2003 action film about an elite Los Angeles police special weapons and tactics team, starring Colin Farrell and Samuel L. Jackson.
  • D. Killa
    Killa is the Aymara or Quechua name for Killa Island, a location whose name derives from Indigenous Andean languages.
  • E. Kalga
    Kalga is a small, scenic Himalayan village in India’s Himachal Pradesh, popular with trekkers and backpackers for its tranquil atmosphere and mountain views.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe7ccb48190b8fb39e2a0ba0782 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.