Triple

T20825296
Position Surface form Disambiguated ID Type / Status
Subject Operation Manna E512681 entity
Predicate alsoKnownAs P39 FINISHED
Object Manna 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: Manna | Statement: [Operation Manna, alsoKnownAs, Manna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manna
Context triple: [Operation Manna, alsoKnownAs, Manna]
  • A. Manna (Biblical theme) chosen
    Manna (Biblical theme) refers to the miraculous food provided by God to the Israelites during their wilderness journey in the Hebrew Bible, symbolizing divine sustenance and care.
  • B. Harinas
    Harinas is a rural settlement located within Syangja District in the Gandaki Province of central Nepal.
  • C. Bamut
    Bamut is a settlement in the Chechen Republic of Russia known for being a major battleground during the First Chechen War.
  • D. Zeruah
    Zeruah is a woman mentioned in the Hebrew Bible as the mother of Jeroboam I, the first king of the northern kingdom of Israel.
  • E. Ometz
    Ometz was a small right-wing Israeli political party active in the 1980s that briefly held Knesset representation and participated in national coalition politics.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fd8480819099930af691d97477 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.