Triple

T14902556
Position Surface form Disambiguated ID Type / Status
Subject Hendrika E360042 entity
Predicate hasShortForm P43 FINISHED
Object Henda E1042333 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: Henda | Statement: [Hendrika, hasShortForm, Henda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henda
Context triple: [Hendrika, hasShortForm, Henda]
  • A. Henda chosen
    Henda is a small Norwegian island located within Averøy Municipality in Møre og Romsdal county.
  • B. Hendrina
    Hendrina is a small town in Mpumalanga, South Africa, known for its coal mining and nearby power stations.
  • C. Hala
    Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
  • D. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • E. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.