Triple
T14674178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maiella |
E344593
|
entity |
| Predicate | notablePeak |
P20909
|
FINISHED |
| Object | Monte Amaro |
E1118172
|
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: Monte Amaro | Statement: [Maiella, notablePeak, Monte Amaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Amaro Context triple: [Maiella, notablePeak, Monte Amaro]
-
A.
Monte Amaro
chosen
Monte Amaro is a prominent peak in Italy’s Apennine Mountains, known for its rugged limestone landscapes and popularity among hikers and mountaineers.
-
B.
Monte Renoso
Monte Renoso is a prominent mountain in southern Corsica, France, known for its rugged terrain and scenic alpine landscapes.
-
C.
Monte Castelo
Monte Castelo is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
-
D.
Monte Leone
Monte Leone is a prominent mountain peak in the central Alps on the border between Switzerland and Italy, known for being the highest summit of the Lepontine Alps.
-
E.
Monte Cavo
Monte Cavo is a prominent volcanic peak in central Italy that forms part of the Alban Hills and has historically served as a strategic and religious site.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cde041081908ae2f2c75a9d5eb2 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:27 a.m.