Triple
T1595341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bioko Island |
E34267
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Fernando Póo
Fernando Póo is the former colonial name of Bioko Island, a volcanic island in the Gulf of Guinea that is now part of Equatorial Guinea.
|
E180837
|
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: Fernando Póo | Statement: [Bioko Island, formerName, Fernando Póo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernando Póo Context triple: [Bioko Island, formerName, Fernando Póo]
-
A.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
-
B.
Guillén
Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
-
C.
Linares y Pombo
Linares y Pombo is the compound Spanish surname of Arsenio Linares y Pombo, a notable Spanish military officer and politician of the late 19th and early 20th centuries.
-
D.
Pascual
Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Murillo
Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
- 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: Fernando Póo Triple: [Bioko Island, formerName, Fernando Póo]
Generated description
Fernando Póo is the former colonial name of Bioko Island, a volcanic island in the Gulf of Guinea that is now part of Equatorial Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fernando Póo Target entity description: Fernando Póo is the former colonial name of Bioko Island, a volcanic island in the Gulf of Guinea that is now part of Equatorial Guinea.
-
A.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
-
B.
Guillén
Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
-
C.
Linares y Pombo
Linares y Pombo is the compound Spanish surname of Arsenio Linares y Pombo, a notable Spanish military officer and politician of the late 19th and early 20th centuries.
-
D.
Pascual
Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Murillo
Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092ccb388190b2f3ed86b3853651 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a595488190a73cfa867595b568 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad47fde094819093f7f1240b7bd520 |
completed | March 8, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48550d4c8190bdaa68de5ba1b321 |
completed | March 8, 2026, 9:58 a.m. |
Created at: March 4, 2026, 7:27 p.m.