Triple

T19619908
Position Surface form Disambiguated ID Type / Status
Subject Ambika E470974 entity
Predicate sisterOf P31639 FINISHED
Object Ambalika NE NERFINISHED

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: Ambalika | Statement: [Ambika, sisterOf, Ambalika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambalika
Context triple: [Ambika, sisterOf, Ambalika]
  • A. Ambalika chosen
    Ambalika is a queen from the Indian epic Mahabharata, known as one of the wives of King Vichitravirya and mother of the Pandava lineage.
  • B. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • C. Ambezza
    Ambezza is a German hip-hop producer best known for crafting beats for major international artists, including co-producing DaBaby’s hit single "ROCKSTAR."
  • D. Aambalantu
    Aambalantu is a dialect of the Ovambo language spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
  • E. Ambah
    Ambah is a town in the Morena district of the central Indian state of Madhya Pradesh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e512d08190a76bf81b3282e0e5 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.