Triple

T18199300
Position Surface form Disambiguated ID Type / Status
Subject Chenab Nagar E435739 entity
Predicate hasNearbyCity P350 FINISHED
Object Lalian 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: Lalian | Statement: [Chenab Nagar, hasNearbyCity, Lalian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalian
Context triple: [Chenab Nagar, hasNearbyCity, Lalian]
  • A. Lalian chosen
    Lalian is a town and administrative subdivision located within Pakistan’s Punjab province.
  • B. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • C. Lia
    Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
  • D. Lia
    Lia is a central character in Umberto Eco's novel "Foucault's Pendulum," serving as a grounding, humanizing presence amid the book's dense intellectual conspiracies and esoteric themes.
  • E. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.