Triple
T20577310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marginal road N6 |
E505253
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Estoril |
—
|
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: Estoril | Statement: [Marginal road N6, connectsTo, Estoril]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estoril Context triple: [Marginal road N6, connectsTo, Estoril]
-
A.
Estoril
chosen
Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
-
B.
Oeiras
Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
-
C.
Oeiras
Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
-
D.
Odivelas, Portugal
Odivelas, Portugal is a suburban city in the Lisbon metropolitan area known historically for its Cistercian monastery, where Queen Philippa of Lancaster died and was buried.
-
E.
Palmela, Portugal
Palmela, Portugal is a town and municipality in the Setúbal District known for its wine production, historic castle, and major automotive manufacturing 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90bbcfc81909ca4cab8038c634b |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.