Triple

T9291023
Position Surface form Disambiguated ID Type / Status
Subject river Selle E223515 entity
Predicate flowsThrough P225 FINISHED
Object town of Péronne E391538 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: town of Péronne | Statement: [river Selle, flowsThrough, town of Péronne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Péronne
Context triple: [river Selle, flowsThrough, town of Péronne]
  • A. Péronne chosen
    Péronne is a historic town in northern France known for its role in World War I and its location in the Somme department.
  • B. Pontois
    Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
  • C. Coucy, France
    Coucy, France is a historic locality best known for its medieval castle and noble lineage in the Picardy region of northern France.
  • D. Falaise
    Falaise is a town in Normandy, France, known for its strategic role in the Second World War, particularly during the closing of the Falaise Pocket in 1944.
  • E. Le Mesnil-sur-Oger
    Le Mesnil-sur-Oger is a renowned Grand Cru village in France’s Champagne region, celebrated for its exceptional Chardonnay-based sparkling wines.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2381e2c8190acbecf97dea1200c completed April 4, 2026, 6:39 a.m.
Created at: March 30, 2026, 7:35 p.m.