Triple

T8114009
Position Surface form Disambiguated ID Type / Status
Subject Sasebo E189425 entity
Predicate sisterCity P1072 FINISHED
Object Lorient, France E153357 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: Lorient, France | Statement: [Sasebo, sisterCity, Lorient, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorient, France
Context triple: [Sasebo, sisterCity, Lorient, France]
  • A. Roscoff, France
    Roscoff, France is a small coastal town in Brittany known for its historic port, thalassotherapy centers, and traditional onion-growing heritage.
  • B. Lorient chosen
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • C. Port Vendres, France
    Port Vendres, France is a Mediterranean port town in the Pyrénées-Orientales department of southern France, known for its picturesque harbor and as a retreat for artists and travelers.
  • D. Port of Lorient
    The Port of Lorient is a major commercial and fishing harbor on France’s Atlantic coast, known for its maritime industry, naval facilities, and role in regional trade.
  • E. Saint-Malo
    Saint-Malo is a historic walled port city in Brittany, northwestern France, known for its maritime heritage, privateering past, and dramatic coastal setting on the English Channel.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432f2a24819097be6ab9b03567bd completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.