Triple
T6410024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Es Mercadal |
E127680
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Monte Toro |
E138931
|
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 Toro | Statement: [Es Mercadal, near, Monte Toro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Toro Context triple: [Es Mercadal, near, Monte Toro]
-
A.
Monte Toro
chosen
Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
-
B.
Monte Ulía
Monte Ulía is a coastal mountain and natural viewpoint overlooking the Bay of Biscay, known for its scenic hiking trails and panoramic views of Donostia-San Sebastián in northern Spain.
-
C.
Monte Granero
Monte Granero is a prominent mountain peak in the western Italian Alps, known for its rugged terrain and scenic alpine landscapes.
-
D.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
-
E.
Monte Semprevisa
Monte Semprevisa is the highest peak of the Monti Lepini range in central Italy, known for its limestone landscapes and panoramic views over the surrounding Lazio region.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb2df6881908161e1a91ea103e1 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:41 p.m.