Triple
T10303321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Região Serrana (Rio de Janeiro) |
E241686
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Areal
Areal is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil.
|
E854156
|
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: Areal | Statement: [Região Serrana (Rio de Janeiro), hasCity, Areal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Areal Context triple: [Região Serrana (Rio de Janeiro), hasCity, Areal]
-
A.
Luas
Luas is Dublin’s modern light rail tram system, providing frequent urban and suburban public transport across the city and its surrounding areas.
-
B.
Dirdal
Dirdal is a small village in southwestern Norway, situated in a scenic valley within Gjesdal municipality in Rogaland county.
-
C.
AREA
AREA is a French motorway concession company responsible for operating and maintaining part of the national autoroute network.
-
D.
Aralar
Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
-
E.
Panguna area
The Panguna area is a region on Bougainville Island in Papua New Guinea known primarily for hosting one of the world’s largest former open-cut copper and gold mines and for its central role in the island’s political and environmental conflicts.
- 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: Areal Triple: [Região Serrana (Rio de Janeiro), hasCity, Areal]
Generated description
Areal is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Areal Target entity description: Areal is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil.
-
A.
Luas
Luas is Dublin’s modern light rail tram system, providing frequent urban and suburban public transport across the city and its surrounding areas.
-
B.
Dirdal
Dirdal is a small village in southwestern Norway, situated in a scenic valley within Gjesdal municipality in Rogaland county.
-
C.
AREA
AREA is a French motorway concession company responsible for operating and maintaining part of the national autoroute network.
-
D.
Aralar
Aralar is a mountainous massif in northern Spain known for its karst landscapes, beech forests, and cultural significance in the Basque Country.
-
E.
Panguna area
The Panguna area is a region on Bougainville Island in Papua New Guinea known primarily for hosting one of the world’s largest former open-cut copper and gold mines and for its central role in the island’s political and environmental conflicts.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d4f6c30819098bcdc77ba1836c3 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:45 a.m.