Triple

T4472521
Position Surface form Disambiguated ID Type / Status
Subject Manche E98526 entity
Predicate capital P234 FINISHED
Object Saint-Lô E319546 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: Saint-Lô | Statement: [Manche, capital, Saint-Lô]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Lô
Context triple: [Manche, capital, Saint-Lô]
  • A. Saint-Lô chosen
    Saint-Lô is a historic town in northwestern France, known for its heavy destruction during World War II and its role as an administrative and commercial center in the Normandy region.
  • B. Caen
    Caen is a historic city in Normandy, France, known for its medieval architecture, ties to William the Conqueror, and its role in the World War II Normandy campaign.
  • C. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • D. Arromanches-les-Bains
    Arromanches-les-Bains is a coastal town in Normandy, France, best known for its role in the D-Day landings and the remains of the Mulberry artificial harbor just offshore.
  • E. Yvetot
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356b832c0819096f76b694277d36e completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6513446f08190b4ab18dffda9060a completed March 15, 2026, 6:27 a.m.
Created at: March 12, 2026, 11:35 p.m.