Triple
T14302971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maisons-Laffitte |
E354614
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Formello |
E410291
|
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: Formello | Statement: [Maisons-Laffitte, hasTwinTown, Formello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Formello Context triple: [Maisons-Laffitte, hasTwinTown, Formello]
-
A.
Formello
chosen
Formello is a town and comune in the Lazio region of central Italy, located near Rome and known for its historical ties to the ancient Etruscan city of Veii.
-
B.
Mazzoli
Mazzoli is an Italian surname associated with various notable individuals, including politicians and artists.
-
C.
Ferlito
Ferlito is an Italian surname most notably associated with American actress Vanessa Ferlito.
-
D.
Zuccarello
Zuccarello is a small historic village in the Liguria region of northwestern Italy, known for its medieval architecture and picturesque setting.
-
E.
Mornello
Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.