Triple
T14020546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loulé Castle |
E337317
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Loulé town |
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 town | Statement: [Loulé Castle, hasView, Loulé town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loulé town Context triple: [Loulé Castle, hasView, Loulé town]
-
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.
Port-Menier
Port-Menier is the main village and only significant settlement on Quebec’s remote Anticosti Island, serving as its administrative and service hub.
-
C.
Sa Dec
Sa Dec is a riverside city in Vietnam’s Mekong Delta, known for its ornamental flower villages, traditional markets, and French colonial-era architecture.
-
D.
Argelès-sur-Mer
Argelès-sur-Mer is a coastal resort town in southern France known for its long Mediterranean beaches and proximity to the Pyrenees.
-
E.
Bou Ismaïl
Bou Ismaïl is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the capital, Algiers.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb655bb34819097fe88ba76464be8 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.