Triple
T21881618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldeia do Mato e Souto |
E540294
|
entity |
| Predicate | hasPredecessorAdministrativeUnit |
P45641
|
FINISHED |
| Object | Souto |
—
|
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: Souto | Statement: [Aldeia do Mato e Souto, hasPredecessorAdministrativeUnit, Souto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Souto Context triple: [Aldeia do Mato e Souto, hasPredecessorAdministrativeUnit, Souto]
-
A.
Souto
chosen
Souto is a former civil parish in Portugal that was incorporated into the unified parish of Aldeia do Mato e Souto.
-
B.
Pinoso
Pinoso is a municipality in the province of Alicante, Spain, known for its wine production, marble quarries, and traditional rural character.
-
C.
Sarzedo
Sarzedo is a small parish (freguesia) in the municipality of Arganil, located in the Coimbra District of central Portugal.
-
D.
Royo
Royo is the surname of American actor Andre Royo, best known for his role as Bubbles on the television series "The Wire."
-
E.
Sorio
Sorio is a small commune in the Haute-Corse department on the island of Corsica in France.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e7a3c48190be1cc285ad4b6496 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:04 p.m.