Triple
T24497571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albina |
E617834
|
entity |
| Predicate | nearOverseasRegion |
P135404
|
FINISHED |
| Object | French Guiana |
—
|
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: French Guiana | Statement: [Albina, nearOverseasRegion, French Guiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearOverseasRegion Context triple: [Albina, nearOverseasRegion, French Guiana]
-
A.
overseasRegionOf
Indicates that one region is an overseas territory or administrative division belonging to another country or primary region.
-
B.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
C.
locatedNearCountry
chosen
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
-
D.
overseasCountry
Indicates that one entity is a country located outside the primary or reference country associated with the other entity.
-
E.
nauticalRegion
Indicates that one entity is a maritime or nautical area within which the other entity is located, operates, or is relevant.
- 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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.