Triple
T17788980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanlúcar de Guadiana |
E444101
|
entity |
| Predicate | locatedOpposite |
P3232
|
FINISHED |
| Object | Alcoutim |
—
|
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: Alcoutim | Statement: [Sanlúcar de Guadiana, locatedOpposite, Alcoutim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcoutim Context triple: [Sanlúcar de Guadiana, locatedOpposite, Alcoutim]
-
A.
Alcoutim
chosen
Alcoutim is a small riverside municipality in Portugal’s Algarve region, known for its quiet historic village overlooking the Guadiana River on the Spanish border.
-
B.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
-
C.
Navarcles
Navarcles is a municipality in the comarca of Bages in Catalonia, Spain, known for its location near the Llobregat and Calders rivers.
-
D.
Ortigueira
Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
-
E.
Sarralbe
Sarralbe is a small commune in northeastern France known for its location in the Moselle department near the German border.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879524bc819090855ab5248c73db |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.