Triple

T1034992
Position Surface form Disambiguated ID Type / Status
Subject Operation Gothic Serpent E22340 entity
Predicate location P40 FINISHED
Object Mogadishu E12694 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: Mogadishu | Statement: [Operation Gothic Serpent, location, Mogadishu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogadishu
Context triple: [Operation Gothic Serpent, location, Mogadishu]
  • A. Mogadishu chosen
    Mogadishu is the capital and largest city of Somalia, serving as a major political, economic, and cultural center on the Horn of Africa.
  • B. Djibouti City
    Djibouti City is the largest urban center and main economic, political, and cultural hub of the Republic of Djibouti, located on the Gulf of Tadjoura in the Horn of Africa.
  • C. Bossaso
    Bossaso is a major port city in northeastern Somalia that serves as a key commercial and maritime hub on the Gulf of Aden.
  • D. Nouakchott
    Nouakchott is the capital and largest city of Mauritania, located on the Atlantic coast of Northwest Africa.
  • E. Maiduguri
    Maiduguri is a major city in northeastern Nigeria that serves as the capital of Borno State and a key economic and administrative center in the region.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b814c16c8190ac4d20feecdadbae completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42990be88190aeda5ec08fce5288 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:41 p.m.