Triple

T23494608
Position Surface form Disambiguated ID Type / Status
Subject Ganjam district E571668 entity
Predicate hasTown P847 FINISHED
Object Hinjilicut 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: Hinjilicut | Statement: [Ganjam district, hasTown, Hinjilicut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinjilicut
Context triple: [Ganjam district, hasTown, Hinjilicut]
  • A. Hinjilicut chosen
    Hinjilicut is a town in the Ganjam district of the Indian state of Odisha, known as a local commercial and administrative center for surrounding rural areas.
  • B. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • C. Jiloca
    Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
  • D. Hicetaon
    Hicetaon is a figure in Greek mythology, traditionally known as a Trojan elder and member of King Priam’s extended family.
  • E. Ghinghinda
    Ghinghinda is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7def8ac8190ade511299078d55b completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.