Triple
T17497056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrol estuary |
E426090
|
entity |
| Predicate | adjacentMunicipality |
P5707
|
FINISHED |
| Object | Fene |
—
|
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: Fene | Statement: [Ferrol estuary, adjacentMunicipality, Fene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fene Context triple: [Ferrol estuary, adjacentMunicipality, Fene]
-
A.
Fene
chosen
Fene is a coastal municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
-
B.
Fenadi
Fenadi is a cultural festival held in Ijuí, Brazil, celebrating the traditions and heritage of the region’s diverse immigrant communities.
-
C.
Fata
Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
-
D.
Fuliru
The Fuliru are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
-
E.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520e9c8c8190aa955766bc915d26 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.