Triple
T1268835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N125 road |
E15663
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Algarve coast |
E6079
|
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: Algarve coast | Statement: [N125 road, follows, Algarve coast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algarve coast Context triple: [N125 road, follows, Algarve coast]
-
A.
Algarve
chosen
Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
-
B.
Costa da Caparica
Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
-
C.
Alentejo
Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
-
D.
Covas do Douro
Covas do Douro is a civil parish in northern Portugal’s Douro Valley, known for its wine-producing landscape and inclusion in the municipality of Sabrosa.
-
E.
northeastern Portugal
Northeastern Portugal is a culturally distinct, sparsely populated region bordering Spain, known for its Mirandese-speaking communities, traditional rural landscapes, and historic towns.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c03aaa8c8190bacb7de5a38329da |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f1d1008190bd86948eb1b35b2d |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.