Triple
T13835964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Roque do Pico |
E332526
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Pico |
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: Mount Pico | Statement: [São Roque do Pico, near, Mount Pico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Pico Context triple: [São Roque do Pico, near, Mount Pico]
-
A.
Mount Pico
chosen
Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
-
B.
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.
-
C.
Mount Aigaleo
Mount Aigaleo is a low mountain range in the Attica region of Greece, west of Athens, known for its historical and strategic significance overlooking the ancient battlefield of Salamis.
-
D.
Morro do Pico
Morro do Pico is a prominent volcanic rock formation and iconic natural landmark on Fernando de Noronha, Brazil, known for its steep peak and scenic coastal views.
-
E.
Mount Le Grand
Mount Le Grand is a prominent granite peak in Western Australia's Cape Le Grand National Park, known for its rugged coastal scenery and hiking opportunities.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029b352081909605baaedc336213 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31a91608190a80a69be38ac7f71 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:13 p.m.