Triple
T25929046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Guinea islands |
E653384
|
entity |
| Predicate | hasIslandCapitalOn |
P76969
|
FINISHED |
| Object | São Tomé Island |
—
|
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: São Tomé Island | Statement: [Gulf of Guinea islands, hasIslandCapitalOn, São Tomé Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslandCapitalOn Context triple: [Gulf of Guinea islands, hasIslandCapitalOn, São Tomé Island]
-
A.
capitalOnIslands
chosen
Indicates that the capital city of a region or country is located on one or more islands.
-
B.
capitalOfIsland
Indicates that a location serves as the capital city or administrative center of a specified island.
-
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.
capitalOfCountryLocatedOn
Indicates that a city serves as the capital of a country that is geographically located on a specified landmass or region.
-
E.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6041710b481909f9583a3bbe16475 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 8:36 a.m.