Triple
T6572604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vila do Bispo |
E155477
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sagres |
E39987
|
NE 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: Sagres | Statement: [Vila do Bispo, contains, Sagres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagres Context triple: [Vila do Bispo, contains, Sagres]
-
A.
Sagres
chosen
Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
-
B.
Fortress of Sagres
The Fortress of Sagres is a historic coastal stronghold in Portugal’s Algarve region, long associated with maritime exploration and the legacy of Prince Henry the Navigator.
-
C.
Porto de Mós
Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
-
D.
Marina de Tavira
Marina de Tavira is a Mexican actress best known internationally for her Academy Award–nominated supporting role in Alfonso Cuarón’s film "Roma."
-
E.
Port of Olhão
The Port of Olhão is a coastal Portuguese harbor in the Algarve region, serving as an important center for fishing, maritime trade, and local passenger transport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56a7de88190948fdd052dd4d5d5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:53 p.m.