Triple
T15568459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadaval |
E374176
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Lamas e Cercal
Lamas e Cercal is a civil parish in the municipality of Cadaval, located in the Lisbon District of Portugal.
|
E1164867
|
NE FINISHED |
How this triple was built (4 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: Lamas e Cercal | Statement: [Cadaval, hasParish, Lamas e Cercal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamas e Cercal Context triple: [Cadaval, hasParish, Lamas e Cercal]
-
A.
La Llagosta
La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
-
B.
Las Retamas
Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
-
C.
Malpica de Bergantiños
Malpica de Bergantiños is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its fishing tradition and rugged Atlantic shoreline.
-
D.
El Catllar
El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
-
E.
Teixoso e Sarzedo
Teixoso e Sarzedo is a civil parish in the municipality of Covilhã, located in Portugal’s Castelo Branco District in the Centro region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lamas e Cercal Triple: [Cadaval, hasParish, Lamas e Cercal]
Generated description
Lamas e Cercal is a civil parish in the municipality of Cadaval, located in the Lisbon District of Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamas e Cercal Target entity description: Lamas e Cercal is a civil parish in the municipality of Cadaval, located in the Lisbon District of Portugal.
-
A.
La Llagosta
La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
-
B.
Las Retamas
Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
-
C.
Malpica de Bergantiños
Malpica de Bergantiños is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its fishing tradition and rugged Atlantic shoreline.
-
D.
El Catllar
El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
-
E.
Teixoso e Sarzedo
Teixoso e Sarzedo is a civil parish in the municipality of Covilhã, located in Portugal’s Castelo Branco District in the Centro region.
- F. None of above. chosen
Provenance (5 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4f27c7b08190bbe2d64eef0610f8 |
completed | May 9, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4fc4223c8190a3dd7a6853258791 |
completed | May 9, 2026, 3:16 p.m. |
Created at: April 10, 2026, 4:10 a.m.