Triple
T32408836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernão do Pó |
E828156
|
entity |
| Predicate | associatedIslandFormerName |
P183475
|
FINISHED |
| Object | Fernando Póo |
E180837
|
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: Fernando Póo | Statement: [Fernão do Pó, associatedIslandFormerName, Fernando Póo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedIslandFormerName Context triple: [Fernão do Pó, associatedIslandFormerName, Fernando Póo]
-
A.
historicalNameOfIslands
chosen
Indicates that one name is a historical or former name used to refer to a particular group of islands.
-
B.
formerIslandOf
Indicates that one entity was previously an island associated with another entity, but no longer holds that status.
-
C.
associatedIsland
Indicates that one entity is related to or connected with a particular island in some relevant way.
-
D.
hasIslandNamedAfter
Indicates that an entity has an island that is named after it.
-
E.
islandAdministered
Indicates that an island is governed, managed, or controlled by a particular administrative authority or entity.
- 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_6a34666ee9308190b97b7ecddd931a01 |
completed | June 18, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:53 a.m.