Triple
T14482321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belvedere glacier viewpoint |
E359136
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Macugnaga |
E72900
|
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: Macugnaga | Statement: [Belvedere glacier viewpoint, near, Macugnaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macugnaga Context triple: [Belvedere glacier viewpoint, near, Macugnaga]
-
A.
Macugnaga
chosen
Macugnaga is a picturesque alpine village in Italy’s Piedmont region, known for its traditional Walser culture and its location at the foot of the Monte Rosa massif.
-
B.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
-
C.
Matagot
Matagot is a French board game publisher known for producing innovative and thematic tabletop games.
-
D.
Mambajao
Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
-
E.
Cala-agus
Cala-agus is a barangay (village-level administrative division) of the municipality of Dumalag in the Philippines.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5dc9b908190b1d7583810dc9c41 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 1:20 a.m.