Triple
T14038624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teeth of Navarino |
E337777
|
entity |
| Predicate | hasNameInSpanish |
P12773
|
FINISHED |
| Object | Dientes de Navarino |
E337777
|
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: Dientes de Navarino | Statement: [Teeth of Navarino, hasNameInSpanish, Dientes de Navarino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dientes de Navarino Context triple: [Teeth of Navarino, hasNameInSpanish, Dientes de Navarino]
-
A.
Teeth of Navarino
chosen
Teeth of Navarino is a rugged, jagged mountain range on Navarino Island in southern Chile, known for its dramatic peaks and challenging trekking routes near Cape Horn.
-
B.
L’Isula Rossa
L’Isula Rossa is the Corsican name for the coastal town and popular seaside resort of L’Île-Rousse in northern Corsica, France.
-
C.
La Mar
La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
-
D.
El Pescaílla
El Pescaílla was a pioneering Spanish flamenco-rumba guitarist and singer, widely regarded as one of the founders of Catalan rumba.
-
E.
La Orchila
La Orchila is a Venezuelan Caribbean island known for its military base, presidential retreat, and surrounding coral reefs and beaches.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33bc20081909abea7e64d1bd578 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.