Triple
T7280451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Ultras |
E163132
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Pico Ruivo |
E86839
|
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 Ruivo | Statement: [European Ultras, includes, Pico Ruivo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Ruivo Context triple: [European Ultras, includes, Pico Ruivo]
-
A.
Pico Ruivo
chosen
Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
-
B.
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.
-
C.
Pico do Areeiro
Pico do Areeiro is one of Madeira Island’s highest and most accessible peaks, renowned for its dramatic mountain scenery and popular hiking routes above the clouds.
-
D.
Pico da Antónia
Pico da Antónia is a prominent volcanic mountain and notable natural landmark on the island of Santiago in Cape Verde.
-
E.
Pico Truncado
Pico Truncado is a small city in southern Argentina known for its role in the oil and gas industry within Santa Cruz Province.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb339b1081909f648864e210f98e |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e532a7f08190a5c0b1167dc0be44 |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:59 p.m.