Triple

T9640401
Position Surface form Disambiguated ID Type / Status
Subject 14th arrondissement of Paris E233048 entity
Predicate borders 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: [14th arrondissement of Paris, borders, Malakoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malakoff
Context triple: [14th arrondissement of Paris, borders, 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 Tower
    Malakoff Tower is a historic 19th-century military observation tower and cultural landmark located in the Recife Antigo district of Recife, Brazil.
  • C. 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.
  • D. 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.
  • E. Balaklava
    Balaklava is a historic port town in Crimea known for its strategic harbor, medieval fortifications, and role in various military conflicts, including the Crimean 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18248ffe4819095d4ea20951eca01 completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.