Triple
T38694699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Guinea |
E949964
|
entity |
| Predicate | islandRegion |
P174854
|
FINISHED |
| Object | Fernando Po |
—
|
NE NERFINISHED |
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 Po | Statement: [Spanish Guinea, islandRegion, Fernando Po]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandRegion Context triple: [Spanish Guinea, islandRegion, Fernando Po]
-
A.
hasIslandSubregion
chosen
Indicates that a region includes an island as one of its subordinate geographic subregions.
-
B.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
C.
islandGroupOf
Indicates that one entity is an island that belongs to, or is a member of, a specified group or chain of islands.
-
D.
majorIslandGroup
Indicates that one entity is a principal or primary island group to which the other entity belongs or with which it is chiefly associated.
-
E.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
- F. None of above.
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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:33 p.m.