Triple

T16944263
Position Surface form Disambiguated ID Type / Status
Subject Wasit Governorate E411027 entity
Predicate containsHistoricalCity P43430 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: [Wasit Governorate, containsHistoricalCity, Kut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kut
Context triple: [Wasit Governorate, containsHistoricalCity, 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. Kutiyana
    Kutiyana is a town in the Porbandar district of Gujarat, India, known historically as a local trading and administrative center.
  • C. Kutha
    Kutha was an ancient Mesopotamian city best known as the principal cult center of the underworld god Nergal.
  • D. 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.
  • E. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb08da88190b07c32652bbc1534 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b3d9c648190bd0437c2f1e19b41 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:31 a.m.