Triple
T1833428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinijo Archipelago |
E41009
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Alegranza
Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
|
E206610
|
NE FINISHED |
How this triple was built (4 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, hasIsland, Alegranza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alegranza Context triple: [Chinijo Archipelago, hasIsland, Alegranza]
-
A.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
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.
-
D.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
-
E.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alegranza Triple: [Chinijo Archipelago, hasIsland, Alegranza]
Generated description
Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alegranza Target entity description: Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
-
A.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
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.
-
D.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
-
E.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
- F. None of above. chosen
Provenance (5 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_69adc9b4b4f08190a0e5ad50de5c0ba8 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcd9359b88190ad312ff0389ff1a6 |
completed | March 8, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adce11558c8190bd8c6341837eb792 |
completed | March 8, 2026, 7:29 p.m. |
Created at: March 4, 2026, 7:33 p.m.