Triple
T7645635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Santa Cruz de Tenerife |
E173111
|
entity |
| Predicate | highestPointOnIsland |
P27839
|
FINISHED |
| Object | Teide |
E29138
|
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: Teide | Statement: [Province of Santa Cruz de Tenerife, highestPointOnIsland, Teide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teide Context triple: [Province of Santa Cruz de Tenerife, highestPointOnIsland, Teide]
-
A.
Teide
chosen
Teide is a massive stratovolcano on Tenerife and one of Spain’s most prominent natural landmarks and tourist attractions.
-
B.
Brokan
Brokan is a creole language spoken by Torres Strait Islanders in northern Australia.
-
C.
Ittiri
Ittiri is a small town in northern Sardinia, Italy, known for its traditional festivals, folk culture, and agricultural production.
-
D.
Hvannadalshnúkur
Hvannadalshnúkur is a prominent glaciated stratovolcano peak in southeast Iceland and the country’s highest mountain.
-
E.
Mount Pico
Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf2aa1c8190945a691e46300ef2 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a21878508190822ff6f4681bc63d |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:58 p.m.