Triple
T4365050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corse-du-Sud |
E98749
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Campomoro
Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
|
E432552
|
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: Campomoro | Statement: [Corse-du-Sud, contains, Campomoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campomoro Context triple: [Corse-du-Sud, contains, Campomoro]
-
A.
Santo Antão
Santo Antão is the westernmost and one of the largest islands of Cape Verde, renowned for its dramatic volcanic mountains, deep valleys, and lush hiking landscapes.
-
B.
Ilha do Nogueira
Ilha do Nogueira is a neighborhood island within the city of Recife in northeastern Brazil, known for its urban residential character amid the city's extensive network of waterways.
-
C.
Ilha do Funil
Ilha do Funil is an island located within the coastal area of Recife, a major city in northeastern Brazil.
-
D.
Ilha do Maruim
Ilha do Maruim is a small island and neighborhood area within the coastal city of Recife in northeastern Brazil.
-
E.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
- 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: Campomoro Triple: [Corse-du-Sud, contains, Campomoro]
Generated description
Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campomoro Target entity description: Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
-
A.
Santo Antão
Santo Antão is the westernmost and one of the largest islands of Cape Verde, renowned for its dramatic volcanic mountains, deep valleys, and lush hiking landscapes.
-
B.
Ilha do Nogueira
Ilha do Nogueira is a neighborhood island within the city of Recife in northeastern Brazil, known for its urban residential character amid the city's extensive network of waterways.
-
C.
Ilha do Funil
Ilha do Funil is an island located within the coastal area of Recife, a major city in northeastern Brazil.
-
D.
Ilha do Maruim
Ilha do Maruim is a small island and neighborhood area within the coastal city of Recife in northeastern Brazil.
-
E.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351fea3e88190807b99868982c491 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc925d881909fac944bc7ce5407 |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dc587b108190a8e3da0fde98a7ce |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dcbf4d5081908d24bce8e2769124 |
completed | March 14, 2026, 10:10 p.m. |
Created at: March 12, 2026, 11:17 p.m.