Triple
T32408835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernão do Pó |
E828156
|
entity |
| Predicate | associatedIslandCurrentName |
P27557
|
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: [Fernão do Pó, associatedIslandCurrentName, Bioko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedIslandCurrentName Context triple: [Fernão do Pó, associatedIslandCurrentName, Bioko]
-
A.
associatedIsland
chosen
Indicates that one entity is related to or connected with a particular island in some relevant way.
-
B.
islandName
Indicates that an entity is identified by a specific island’s name.
-
C.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
D.
nearestPopulatedIsland
Indicates that one island is the closest populated island to another specified location or island.
-
E.
neighboringIsland
Indicates that one island is geographically adjacent to or very close to another island, typically separated only by a narrow body of water.
- F. None of above.
Provenance (4 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c65c56f0819083545dbf55f31f19 |
completed | June 19, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:53 a.m.