Triple

T788884
Position Surface form Disambiguated ID Type / Status
Subject Tripoli E16865 entity
Predicate distanceTo P350 FINISHED
Object Misrata E16865 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: Misrata | Statement: [Tripoli, distanceTo, Misrata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misrata
Context triple: [Tripoli, distanceTo, Misrata]
  • A. Misrata chosen
    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.
  • B. Tripoli
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • C. Tripoli
    Tripoli is Lebanon’s second-largest city, a historic Mediterranean port known for its medieval Mamluk architecture and vibrant commercial life.
  • D. Al Bayda
    Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
  • E. Sirte, Libya
    Sirte, Libya is a coastal city on the Mediterranean Sea that gained international prominence as Muammar Gaddafi’s final stronghold and the site of his death during the 2011 Libyan civil war.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfae07c8190b104c869302cd486 completed March 4, 2026, 8:31 a.m.
Created at: March 1, 2026, 7:38 p.m.