Triple
T15896452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Como Cathedral |
E385467
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lake Como |
E5575
|
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: Lake Como | Statement: [Como Cathedral, near, Lake Como]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Como Context triple: [Como Cathedral, near, Lake Como]
-
A.
Lake Maggiore
Lake Maggiore is a large glacial lake in the Italian Alps renowned for its scenic beauty, mild climate, and historic lakeside towns and islands.
-
B.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
C.
Lake Iseo
Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
-
D.
Lake Como, Italy
chosen
Lake Como, Italy is a picturesque glacial lake in northern Italy renowned for its dramatic alpine scenery, historic villas, and status as a luxury retreat for celebrities and travelers.
-
E.
Geneva Lake
Geneva Lake is a popular glacial lake in southeastern Wisconsin known for its resort communities, recreational boating, and scenic shoreline.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15639c9748190b1115f74cbd61330 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bb7d608190babbea74a9ca9f4c |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:51 a.m.