Triple
T15567773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anadia |
E374159
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Arcos e Mogofores
Arcos e Mogofores is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
|
E1165533
|
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: Arcos e Mogofores | Statement: [Anadia, hasParish, Arcos e Mogofores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arcos e Mogofores Context triple: [Anadia, hasParish, Arcos e Mogofores]
-
A.
Congonhas
Congonhas is a district in the city of São Paulo, Brazil, best known for giving its name to one of the country’s busiest domestic airports.
-
B.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
C.
Morro dos Homens
Morro dos Homens is the highest peak on Corvo Island in the Azores archipelago of Portugal, known for its dramatic volcanic landscape and Atlantic Ocean views.
-
D.
Ilha do Fundão
Ilha do Fundão is an artificial island in Rio de Janeiro, Brazil, best known as the site of the main campus of the Federal University of Rio de Janeiro (UFRJ).
-
E.
Itaporanga d’Ajuda
Itaporanga d’Ajuda is a municipality in the Brazilian state of Sergipe known for its riverside landscapes, coastal proximity, and traditional rural communities.
- 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: Arcos e Mogofores Triple: [Anadia, hasParish, Arcos e Mogofores]
Generated description
Arcos e Mogofores is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arcos e Mogofores Target entity description: Arcos e Mogofores is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
-
A.
Congonhas
Congonhas is a district in the city of São Paulo, Brazil, best known for giving its name to one of the country’s busiest domestic airports.
-
B.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
C.
Morro dos Homens
Morro dos Homens is the highest peak on Corvo Island in the Azores archipelago of Portugal, known for its dramatic volcanic landscape and Atlantic Ocean views.
-
D.
Ilha do Fundão
Ilha do Fundão is an artificial island in Rio de Janeiro, Brazil, best known as the site of the main campus of the Federal University of Rio de Janeiro (UFRJ).
-
E.
Itaporanga d’Ajuda
Itaporanga d’Ajuda is a municipality in the Brazilian state of Sergipe known for its riverside landscapes, coastal proximity, and traditional rural communities.
- 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.