Triple
T13579573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comarca of Tarragonès |
E324376
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Torredembarra |
E1038205
|
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: Torredembarra | Statement: [Comarca of Tarragonès, containsMunicipality, Torredembarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torredembarra Context triple: [Comarca of Tarragonès, containsMunicipality, Torredembarra]
-
A.
Torredembarra
chosen
Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
-
B.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
C.
Tordera
Tordera is a municipality in the Maresme comarca of Catalonia, Spain, known for its rural landscapes and proximity to the Costa Brava.
-
D.
Torrelavit
Torrelavit is a small wine-producing municipality in Catalonia, Spain, situated in the Alt Penedès comarca known for its vineyards and cava.
-
E.
Capalonga
Capalonga is a coastal municipality in the Philippine province of Camarines Norte known for its fishing communities, natural attractions, and religious pilgrimage sites.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942a29b88190acefc8b3b91d849f |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:48 p.m.