Triple
T13943013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldeira do Faial |
E335303
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Pico Mountain |
E65673
|
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: Pico Mountain | Statement: [Caldeira do Faial, hasViewOf, Pico Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Mountain Context triple: [Caldeira do Faial, hasViewOf, Pico Mountain]
-
A.
Pico Mountain
Pico Mountain is a popular ski and snowboard resort in Vermont’s Green Mountains, known for its varied terrain and family-friendly atmosphere.
-
B.
Mount Pico
chosen
Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
-
C.
Picota peak
Picota peak is a prominent mountain summit in Portugal’s Serra de Monchique range, known for its panoramic views over the Algarve region.
-
D.
Monte Patria
Monte Patria is a rural municipality and town in Chile’s Coquimbo Region, known for its agricultural production and scenic valleys.
-
E.
Monte Altissimo
Monte Altissimo is a prominent mountain in Italy’s Apuan Alps, known for its extensive marble quarries and panoramic views over the surrounding Tuscan landscape.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e0f6f3c8190a64058b732b0ac52 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192b5e508190b2d385657f9e358f |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:17 p.m.