Triple

T167005
Position Surface form Disambiguated ID Type / Status
Subject Eighth Army (United Kingdom) E3036 entity
Predicate garrisonOrHeadquarters P62 FINISHED
Object Tripoli E12108 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: Tripoli | Statement: [Eighth Army (United Kingdom), garrisonOrHeadquarters, Tripoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tripoli
Context triple: [Eighth Army (United Kingdom), garrisonOrHeadquarters, Tripoli]
  • A. Tripoli chosen
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • B. Misrata
    Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
  • C. Algiers
    Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
  • D. Tunis
    Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
  • E. Sidi Bouzid
    Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25bae79b48190abfd247410e5918f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a347634d58819096655bcdc1378780 completed Feb. 28, 2026, 7:52 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.