Triple

T19247223
Position Surface form Disambiguated ID Type / Status
Subject Borsippa E481292 entity
Predicate hasMajorZiggurat P25344 FINISHED
Object Eurmeiminanki NE NERFINISHED

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: Eurmeiminanki | Statement: [Borsippa, hasMajorZiggurat, Eurmeiminanki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurmeiminanki
Context triple: [Borsippa, hasMajorZiggurat, Eurmeiminanki]
  • A. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • B. Emmen
    Emmen is a Swiss municipality located near the city of Lucerne, known for its industrial areas and residential communities.
  • C. Meimad
    Meimad is a small Israeli religious Zionist political party known for its moderate, dovish positions and support for peace-oriented policies.
  • D. Ourém
    Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
  • E. Euralille
    Euralille is a major urban development and business district in Lille, France, known for its high-speed rail hub and contemporary architecture integrating commercial, office, and public spaces.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eurmeiminanki
Target entity description: Eurmeiminanki was the principal ziggurat of the ancient Mesopotamian city of Borsippa, a monumental stepped temple-tower dedicated to the god Nabu.
  • A. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • B. Emmen
    Emmen is a Swiss municipality located near the city of Lucerne, known for its industrial areas and residential communities.
  • C. Meimad
    Meimad is a small Israeli religious Zionist political party known for its moderate, dovish positions and support for peace-oriented policies.
  • D. Ourém
    Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
  • E. Euralille
    Euralille is a major urban development and business district in Lille, France, known for its high-speed rail hub and contemporary architecture integrating commercial, office, and public spaces.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorZiggurat
Context triple: [Borsippa, hasMajorZiggurat, Eurmeiminanki]
  • A. hasZiggurat chosen
    Indicates that an entity possesses, contains, or is associated with a ziggurat structure.
  • B. hasCultPyramid
    Indicates that an entity possesses or is associated with a pyramid used for cultic or religious purposes.
  • C. hasValleyTempleAt
    Indicates that a subject (such as a monument or site) possesses or is associated with a valley temple located at a specified place.
  • D. hasPyramids
    Indicates that the subject possesses, contains, or is characterized by one or more pyramids.
  • E. hasPyramid
    Indicates that one entity possesses, contains, or features a pyramid in relation to another entity.
  • F. None of above.

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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2daacc8190b8af99dee51f238d completed April 20, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69e4dd002d00819088b625056edfb74e completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:27 p.m.