Triple

T21245733
Position Surface form Disambiguated ID Type / Status
Subject Nahum the Elkoshite E523602 entity
Predicate associatedPlace P1481 FINISHED
Object Elkosh
Elkosh is an ancient, little-known locality traditionally identified as the hometown of the biblical prophet Nahum.
E1472775 NE FINISHED

How this triple was built (4 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: Elkosh | Statement: [Nahum the Elkoshite, associatedPlace, Elkosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elkosh
Context triple: [Nahum the Elkoshite, associatedPlace, Elkosh]
  • A. Iveland
    Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
  • B. Elsendorf
    Elsendorf is a small municipality in the Lower Bavarian region of Germany.
  • C. Froland
    Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
  • D. Norrviken
    Norrviken is a residential district in Sollentuna Municipality, north of Stockholm, known for its commuter rail connections and proximity to Lake Norrviken.
  • E. Hystad
    Hystad is a residential area and neighboring settlement to Leirvik in the municipality of Stord in western Norway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elkosh
Triple: [Nahum the Elkoshite, associatedPlace, Elkosh]
Generated description
Elkosh is an ancient, little-known locality traditionally identified as the hometown of the biblical prophet Nahum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elkosh
Target entity description: Elkosh is an ancient, little-known locality traditionally identified as the hometown of the biblical prophet Nahum.
  • A. Iveland
    Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
  • B. Elsendorf
    Elsendorf is a small municipality in the Lower Bavarian region of Germany.
  • C. Froland
    Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
  • D. Norrviken
    Norrviken is a residential district in Sollentuna Municipality, north of Stockholm, known for its commuter rail connections and proximity to Lake Norrviken.
  • E. Hystad
    Hystad is a residential area and neighboring settlement to Leirvik in the municipality of Stord in western Norway.
  • F. None of above. chosen

Provenance (5 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73599e5548190ad70d2c2bfa9e919 completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986f8e32c8190b056d98a2627e417 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0987b7bd548190bf3f026bbb49be3c completed May 17, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0988b4bbdc8190a7e08bb6558047fa completed May 17, 2026, 9:21 a.m.
Created at: April 16, 2026, 3:49 p.m.