Triple
T12388288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pichi |
E295926
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Bioko |
E34267
|
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: Bioko | Statement: [Pichi, region, Bioko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bioko Context triple: [Pichi, region, Bioko]
-
A.
Bioko Island
chosen
Bioko Island is a volcanic island off the west coast of Africa that forms the northern region of Equatorial Guinea and hosts the country’s capital, Malabo.
-
B.
Bioko Norte
Bioko Norte is a province of Equatorial Guinea that occupies the northern part of Bioko Island and includes the national capital, Malabo.
-
C.
Annobón
Annobón is a small, remote volcanic island and province of Equatorial Guinea in the Gulf of Guinea, known for its unique biodiversity and Portuguese-influenced Creole culture.
-
D.
São Tomé
São Tomé is the largest city and main economic and administrative center of the island nation of São Tomé and Príncipe in the Gulf of Guinea.
-
E.
Ibo Island
Ibo Island is a historic island in northern Mozambique known for its centuries-old Swahili, Arab, and Portuguese influences, colonial architecture, and role as a former trading post.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fcf6aa8819080c9a2407a72db2e |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347816408190904ea71d2a72398f |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.