Triple
T428633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia da Falésia |
E9664
|
entity |
| Predicate | locatedInMunicipality |
P40
|
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: [Praia da Falésia, locatedInMunicipality, Loulé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loulé Context triple: [Praia da Falésia, locatedInMunicipality, 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.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
C.
Olona
The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
-
D.
Antibes
Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
-
E.
Toulon
Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3a260888190b89e90c1da061733 |
completed | March 4, 2026, 3:14 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.