Triple

T17263993
Position Surface form Disambiguated ID Type / Status
Subject Dender E419075 entity
Predicate hasPart P35 FINISHED
Object Little Dender E86069 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: Little Dender | Statement: [Dender, hasPart, Little Dender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Dender
Context triple: [Dender, hasPart, Little Dender]
  • A. Dender chosen
    The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
  • B. Kawkareik
    Kawkareik is a principal town in southeastern Myanmar’s Karen State, serving as a local administrative and commercial center.
  • C. Kashta
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • D. Konda-Dora
    Konda-Dora is a South-Central Dravidian language spoken primarily by the Konda Dora tribal community in parts of Andhra Pradesh and Odisha, India.
  • E. Miniyeh
    Miniyeh is a town in northern Lebanon that serves as the administrative and economic center of the Miniyeh-Danniyeh District in the North Governorate.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171054f388190bf068ca2e6b88458 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:40 a.m.