Triple
T15606791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantanhede |
E375178
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Cantanhede e Pocariça
Cantanhede e Pocariça is a civil parish in the municipality of Cantanhede, located in the Coimbra District of Portugal.
|
E1166353
|
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: Cantanhede e Pocariça | Statement: [Cantanhede, hasParish, Cantanhede e Pocariça]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cantanhede e Pocariça Context triple: [Cantanhede, hasParish, Cantanhede e Pocariça]
-
A.
Cravinhos
Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
-
B.
Samba Caju
Samba Caju is a town and municipality located in Angola’s Cuanza Norte Province.
-
C.
Pocinho
Pocinho is a small village and railway terminus in northern Portugal, located along the Douro River and known as a gateway to the scenic Douro Valley wine region.
-
D.
Barra Bonita
Barra Bonita is a municipality in the state of São Paulo, Brazil, known for its river tourism and historic lock system on the Tietê River.
-
E.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
- 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: Cantanhede e Pocariça Triple: [Cantanhede, hasParish, Cantanhede e Pocariça]
Generated description
Cantanhede e Pocariça is a civil parish in the municipality of Cantanhede, located in the Coimbra District of Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cantanhede e Pocariça Target entity description: Cantanhede e Pocariça is a civil parish in the municipality of Cantanhede, located in the Coimbra District of Portugal.
-
A.
Cravinhos
Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
-
B.
Samba Caju
Samba Caju is a town and municipality located in Angola’s Cuanza Norte Province.
-
C.
Pocinho
Pocinho is a small village and railway terminus in northern Portugal, located along the Douro River and known as a gateway to the scenic Douro Valley wine region.
-
D.
Barra Bonita
Barra Bonita is a municipality in the state of São Paulo, Brazil, known for its river tourism and historic lock system on the Tietê River.
-
E.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d3541c8190a5a2aa9730260562 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff578dc9dc8190ae0b1abcd74a6346 |
completed | May 9, 2026, 3:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff586ce89081909ebc1779bb9c4221 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:13 a.m.