Triple

T3178717
Position Surface form Disambiguated ID Type / Status
Subject Murree E66527 entity
Predicate locatedInRegion P40 FINISHED
Object Galyat region E304553 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: Galyat region | Statement: [Murree, locatedInRegion, Galyat region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galyat region
Context triple: [Murree, locatedInRegion, Galyat region]
  • A. Geokchay Uyezd
    Geokchay Uyezd was an administrative district of the Russian Empire and early Soviet period located in the central part of present-day Azerbaijan.
  • B. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • C. Khostinsky District
    Khostinsky District is an administrative district of the city of Sochi in Krasnodar Krai, Russia, known for its Black Sea coastline, subtropical climate, and popular resort and spa areas.
  • D. Tirah region chosen
    The Tirah region is a mountainous, historically tribal area in Pakistan’s northwest, known for its strategic location, Pashtun communities, and history of conflict and resistance.
  • E. Lika region
    The Lika region is a mountainous and sparsely populated area of central Croatia known for its karst landscapes, forests, and traditional rural culture.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69db2088190baa1305892eb148a completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f92a708190b9c627aa43703dfb completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.