Triple
T1833434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinijo Archipelago |
E41009
|
entity |
| Predicate | hasUninhabitedIsland |
P970
|
FINISHED |
| Object | Alegranza |
E206610
|
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: Alegranza | Statement: [Chinijo Archipelago, hasUninhabitedIsland, Alegranza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alegranza Context triple: [Chinijo Archipelago, hasUninhabitedIsland, Alegranza]
-
A.
Alegranza
chosen
Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
D.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
E.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb02540dc819081b19a09562139cd |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c23f9c81909b7d524448351060 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:33 p.m.