Triple
T15567643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mealhada |
E374156
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Vacariça
Vacariça is a civil parish in the municipality of Mealhada, located in Portugal’s Centro region.
|
E1165502
|
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: Vacariça | Statement: [Mealhada, hasAdministrativeDivision, Vacariça]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vacariça Context triple: [Mealhada, hasAdministrativeDivision, Vacariça]
-
A.
Cirocha
Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
-
B.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
C.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
-
D.
Rauco
Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
-
E.
Vascão
Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
- 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: Vacariça Triple: [Mealhada, hasAdministrativeDivision, Vacariça]
Generated description
Vacariça is a civil parish in the municipality of Mealhada, located in Portugal’s Centro region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vacariça Target entity description: Vacariça is a civil parish in the municipality of Mealhada, located in Portugal’s Centro region.
-
A.
Cirocha
Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
-
B.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
-
C.
Carira
Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
-
D.
Rauco
Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
-
E.
Vascão
Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
- 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_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50d54960819089491ccb580784b8 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5208e9a08190b4a6f4157cf3c237 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:10 a.m.