Triple

T14448587
Position Surface form Disambiguated ID Type / Status
Subject Sir John Monash Centre E358270 entity
Predicate locatedIn P40 FINISHED
Object Villers-Bretonneux E1029832 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: Villers-Bretonneux | Statement: [Sir John Monash Centre, locatedIn, Villers-Bretonneux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villers-Bretonneux
Context triple: [Sir John Monash Centre, locatedIn, Villers-Bretonneux]
  • A. Villers-Bretonneux chosen
    Villers-Bretonneux is a commune in northern France notable for its major World War I battlefields and memorials commemorating Australian and other Allied soldiers.
  • B. Bazentin
    Bazentin is a commune in northern France notable as the birthplace of the pioneering evolutionary biologist Jean-Baptiste Lamarck.
  • C. Voisins-le-Bretonneux
    Voisins-le-Bretonneux is a suburban commune in the Yvelines department of the Île-de-France region in north-central France.
  • D. Fricourt
    Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
  • E. Delville Wood
    Delville Wood is a forest on the Somme in northern France that was the site of intense fighting during the Battle of the Somme in World War I, particularly noted for the heavy losses suffered by South African troops.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916139888190be219678e29a2a3a completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdf451c8190baaa3f7500eaea16 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.