Triple

T13684968
Position Surface form Disambiguated ID Type / Status
Subject Battle of Mekelle E328097 entity
Predicate location P40 FINISHED
Object Mekelle E256050 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: Mekelle | Statement: [Battle of Mekelle, location, Mekelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mekelle
Context triple: [Battle of Mekelle, location, Mekelle]
  • A. Mekelle chosen
    Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
  • B. Senafe
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • C. Massawa
    Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
  • D. Tantu
    Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
  • E. Gafat
    Gafat is an extinct South Ethio-Semitic language once spoken in parts of Ethiopia.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.