Triple
T504326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algarve line |
E10468
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Loulé |
E67623
|
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: Loulé | Statement: [Algarve line, connectsCity, Loulé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loulé Context triple: [Algarve line, connectsCity, Loulé]
-
A.
Loulé
chosen
Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
-
B.
Saintes-Maries-de-la-Mer
Saintes-Maries-de-la-Mer is a coastal town in southern France known as a pilgrimage site and seaside resort at the edge of the Camargue wetlands.
-
C.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
D.
Olona
The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
-
E.
Aigues-Mortes
Aigues-Mortes is a historic fortified town in southern France, renowned for its well-preserved medieval walls and proximity to the salt marshes of the Camargue.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1185da8c8190a70f4fd885bbe209 |
completed | March 7, 2026, 11:52 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.