Triple

T3639962
Position Surface form Disambiguated ID Type / Status
Subject Dijla E77162 entity
Predicate passesThrough P225 FINISHED
Object Kut E68772 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: Kut | Statement: [Dijla, passesThrough, Kut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kut
Context triple: [Dijla, passesThrough, Kut]
  • A. Kut chosen
    Kut is a city in eastern Iraq situated on the banks of the Tigris River, known historically as a strategic location and the site of significant World War I battles.
  • B. Kuta
    Kuta is a popular beach resort town in southern Bali, Indonesia, known for its surfing waves, vibrant nightlife, and dense concentration of hotels, shops, and restaurants.
  • C. Kutelo
    Kutelo is one of the highest and most prominent peaks in Bulgaria’s Pirin mountain range, known for its sharp ridges and alpine terrain.
  • D. Kuteb
    Kuteb are an indigenous ethnic group primarily inhabiting parts of present-day Taraba State in eastern Nigeria, known for their distinct language and traditional cultural practices.
  • E. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32b83188190bfc0ed4dc8f66730 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48834d22081908687b250af859c6b completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.