Triple

T14042389
Position Surface form Disambiguated ID Type / Status
Subject Genesis 34 E337877 entity
Predicate mentionsPerson P831 FINISHED
Object Hamor E1075389 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: Hamor | Statement: [Genesis 34, mentionsPerson, Hamor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamor
Context triple: [Genesis 34, mentionsPerson, Hamor]
  • A. Hamor chosen
    Hamor is a biblical figure in the Book of Genesis, known as the Hivite ruler of Shechem and father of Shechem, who becomes involved in the conflict with Jacob’s sons over the violation of their sister Dinah.
  • B. Hemsila
    Hemsila is a river in the Norwegian municipality of Hemsedal, known for its scenic valley course and popular trout fishing.
  • C. Hamar
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • D. Odiham
    Odiham is a historic village in Hampshire, England, known for its medieval castle ruins and traditional rural character.
  • E. Garmsar
    Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65a21088190a14808d09b2b9f42 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.