Triple

T5176034
Position Surface form Disambiguated ID Type / Status
Subject Book of Obadiah E116799 entity
Predicate mentions P831 FINISHED
Object Mount Esau E368559 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: Mount Esau | Statement: [Book of Obadiah, mentions, Mount Esau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Esau
Context triple: [Book of Obadiah, mentions, Mount Esau]
  • A. Mount Seir chosen
    Mount Seir is a mountainous region in the ancient Near East, traditionally identified as the homeland of Esau and the nation of Edom in the Hebrew Bible.
  • B. Mount Egon
    Mount Egon is an active stratovolcano located on the island of Flores in Indonesia, known for its periodic eruptions and geothermal activity.
  • C. Mount Sam
    Mount Sam is a prominent pilgrimage and tourist mountain in Vietnam’s An Giang Province, known for its temples, pagodas, and panoramic views over the Mekong Delta.
  • D. Mount Nivea
    Mount Nivea is a prominent mountain peak that forms the highest point in the remote South Orkney Islands of the Southern Ocean.
  • E. Mount Sannine
    Mount Sannine is a prominent mountain in central Lebanon, known for its snow-capped peaks, scenic landscapes, and popularity as a destination for hiking and winter sports.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd797349008190b87ad9d0d3eb667f completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfcb96c56c8190908d5aacd5afc88e completed March 22, 2026, 10:59 a.m.
Created at: March 20, 2026, 1:45 p.m.