Triple
T9219037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Cherbourg railway |
E221312
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Lisieux |
E230690
|
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: Lisieux | Statement: [Paris–Cherbourg railway, passesThrough, Lisieux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisieux Context triple: [Paris–Cherbourg railway, passesThrough, Lisieux]
-
A.
Lisieux
chosen
Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
-
B.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
C.
Cholet
Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
-
D.
Saint-Brais
Saint-Brais is a small rural municipality in the canton of Jura in northwestern Switzerland, situated in the Franches-Montagnes district.
-
E.
Condé-sur-Vire
Condé-sur-Vire is a commune in the Manche department of northwestern France, historically noted as the birthplace of the Jesuit missionary and martyr Jean de Brébeuf.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100b8f80c8190bef93de787227a51 |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:27 p.m.