Triple

T13276108
Position Surface form Disambiguated ID Type / Status
Subject Anjar E316192 entity
Predicate locatedIn P40 FINISHED
Object Zahle District E290892 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: Zahle District | Statement: [Anjar, locatedIn, Zahle District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zahle District
Context triple: [Anjar, locatedIn, Zahle District]
  • A. Zahle chosen
    Zahle is a prominent city in Lebanon’s Beqaa Valley, known for its historic architecture, vineyards, and role as a regional commercial and cultural center.
  • B. Uckermark district
    Uckermark district is a largely rural administrative district in northeastern Brandenburg, Germany, known for its expansive natural landscapes, lakes, and historic villages.
  • C. Bornholm Municipality
    Bornholm Municipality is a Danish local government area encompassing the entire Baltic Sea island of Bornholm, known for its coastal towns, rocky landscapes, and historic sites.
  • D. Havelberg
    Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
  • E. Segeberg
    Segeberg is a district in the northern German state of Schleswig-Holstein, known for its lakes, forests, and the town of Bad Segeberg with its famous Karl May Festival.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.