Triple
T1359975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Guiana |
E29075
|
entity |
| Predicate | NUTSRegion |
P2415
|
FINISHED |
| Object | FRY3 |
—
|
LITERAL 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: FRY3 | Statement: [French Guiana, NUTSRegion, FRY3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NUTSRegion Context triple: [French Guiana, NUTSRegion, FRY3]
-
A.
NUTSRegionCode
chosen
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
B.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
-
C.
europeanRegion
Indicates that an entity is located in, associated with, or classified as part of a region within Europe.
-
D.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
-
E.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.