Triple

T16340803
Position Surface form Disambiguated ID Type / Status
Subject Vanves E396795 entity
Predicate borderedBy P224 FINISHED
Object Malakoff E228814 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: Malakoff | Statement: [Vanves, borderedBy, Malakoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malakoff
Context triple: [Vanves, borderedBy, Malakoff]
  • A. Malakoff chosen
    Malakoff is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and proximity to the capital.
  • B. Malakoff redoubt
    Malakoff redoubt was a heavily fortified Russian defensive position outside Sevastopol that became the focal point of fierce fighting during the Crimean War.
  • C. Malakoff Tower
    Malakoff Tower is a historic 19th-century military observation tower and cultural landmark located in the Recife Antigo district of Recife, Brazil.
  • D. Petrovsk-Port
    Petrovsk-Port was a significant port city in the Russian Empire’s Caucasus region, serving as an important commercial and strategic hub on the Caspian Sea.
  • E. Pontorson
    Pontorson is a small town in northwestern France that serves as a common gateway and service hub for visitors traveling to the nearby island commune of Mont-Saint-Michel.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da09dcf48190b6fdd14b1812c56a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00261cf0648190b4dd5ff79de7e315 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.