Triple
T23901617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islas Chafarinas |
E601059
|
entity |
| Predicate | uninhabitedIslands |
P128924
|
FINISHED |
| Object | Isla del Congreso |
—
|
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: Isla del Congreso | Statement: [Islas Chafarinas, uninhabitedIslands, Isla del Congreso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uninhabitedIslands Context triple: [Islas Chafarinas, uninhabitedIslands, Isla del Congreso]
-
A.
onlyInhabitedIsland
Indicates that the subject is the sole inhabited island within a specified geographic or contextual set, with no other islands in that set having inhabitants.
-
B.
nearestPopulatedIsland
Indicates that one island is the closest populated island to another specified location or island.
-
C.
numberOfIslandsAndReefs
Indicates the count of islands and reefs associated with or contained within a given geographic or administrative entity.
-
D.
hasUninhabitedIslands
chosen
Indicates that an entity possesses or includes one or more islands that have no permanent human inhabitants.
-
E.
archipelagoType
Indicates the specific kind or classification of an archipelago 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdde91d081908df44442a20e0fd2 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:26 p.m.