Triple
T6686315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velletri |
E152105
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Chagny |
E160695
|
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: Chagny | Statement: [Velletri, hasTwinTown, Chagny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chagny Context triple: [Velletri, hasTwinTown, Chagny]
-
A.
Chagny
chosen
Chagny is a commune in eastern France known for its location in the Burgundy wine region and its historic architecture.
-
B.
Raoul de Chagny
Raoul de Chagny is a young French nobleman who serves as the romantic hero and love interest of Christine Daaé in Gaston Leroux’s novel *The Phantom of the Opera*.
-
C.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
D.
Madame Valmondé
Madame Valmondé is a wealthy, compassionate Louisiana plantation mistress and adoptive mother figure in Kate Chopin’s short story "Désirée’s Baby."
-
E.
Hippolyte Destailleur
Hippolyte Destailleur was a 19th-century French architect and interior designer renowned for his historicist restorations and designs of grand châteaux and aristocratic residences.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14cd6748190aad4badd5f253478 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b0c0148190a232ed10950ec92b |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.