Triple
T2028786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portlligat |
E44468
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Alt Empordà |
E223499
|
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: Alt Empordà | Statement: [Portlligat, locatedIn, Alt Empordà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alt Empordà Context triple: [Portlligat, locatedIn, Alt Empordà]
-
A.
Empordà
Empordà is a historic coastal region in northeastern Catalonia, Spain, known for its medieval villages, Mediterranean landscapes, and strong cultural ties to the artist Salvador Dalí.
-
B.
Comarca of Alt Empordà
chosen
The Comarca of Alt Empordà is a coastal county in northeastern Catalonia, Spain, known for its Mediterranean landscapes, wine production, and cultural heritage near the French border.
-
C.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
D.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
-
E.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9136f888190b0fd03530e9eda1e |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae304cc62c81909d152ee6ae543d7e |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:38 p.m.