Triple
T9907490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loggia Durini |
E185049
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lenno |
E54845
|
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: Lenno | Statement: [Loggia Durini, locatedIn, Lenno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenno Context triple: [Loggia Durini, locatedIn, Lenno]
-
A.
Lenno
chosen
Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
-
B.
Lennik
Lennik is a municipality in the Flemish Brabant province of Belgium, known for its rural character and historic castle of Gaasbeek.
-
C.
Leeland
Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
-
D.
Lenne
Lenne is a river in North Rhine-Westphalia, Germany, known as a significant tributary of the Ruhr.
-
E.
Lonna
Lonna is a small island near central Helsinki known for its historic military structures, public sauna, and seaside recreation.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50ec61481908f42bd2aa55d9a6e |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20daabd5881908b02da50a640766a |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.