Triple

T19712342
Position Surface form Disambiguated ID Type / Status
Subject Habur E473379 entity
Predicate hasArchaeologicalSites P1098 FINISHED
Object Tell Barri E473385 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: Tell Barri | Statement: [Habur, hasArchaeologicalSites, Tell Barri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tell Barri
Context triple: [Habur, hasArchaeologicalSites, Tell Barri]
  • A. Tell Barri chosen
    Tell Barri is an important archaeological mound in northeastern Syria that contains remains from multiple ancient Near Eastern civilizations, including Hurrian, Assyrian, and later periods.
  • B. Barri
    Barri is a given name variant of Barry, typically used as a personal name.
  • C. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • D. Belén
    Belén is a municipality located in the Rivas Department of southwestern Nicaragua, known for its rural character and agricultural activities.
  • E. Belén
    Belén is a common Spanish feminine given name, often used as a diminutive of "Belén María" and associated with the Spanish word for Bethlehem.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64408bde08190aa3bef8516491e03 completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ab9ea0708190ba465450a31e5aef completed May 15, 2026, 11:26 p.m.
Created at: April 10, 2026, 1:46 p.m.