Triple
T3268564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrara |
E68585
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
|
E341436
|
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: Gironella | Statement: [Ferrara, twinTown, Gironella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gironella Context triple: [Ferrara, twinTown, Gironella]
-
A.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
B.
Santpedor
Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
-
C.
Garraf
Garraf is a coastal comarca in Catalonia, Spain, known for its Mediterranean landscapes, natural park, and seaside towns such as Sitges and Vilanova i la Geltrú.
-
D.
Gironès
Gironès is a comarca (county) in the province of Girona, Catalonia, known for encompassing the city of Girona and its surrounding municipalities.
-
E.
Santanyí
Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
- 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: Gironella Triple: [Ferrara, twinTown, Gironella]
Generated description
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gironella Target entity description: Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
A.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
B.
Santpedor
Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
-
C.
Garraf
Garraf is a coastal comarca in Catalonia, Spain, known for its Mediterranean landscapes, natural park, and seaside towns such as Sitges and Vilanova i la Geltrú.
-
D.
Gironès
Gironès is a comarca (county) in the province of Girona, Catalonia, known for encompassing the city of Girona and its surrounding municipalities.
-
E.
Santanyí
Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafd0eddc8190834a64f6b8e8e9f9 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ef261ec819091c62620765e2cef |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b28f9efe408190bcb1e16931b2fe62 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2a8b873b081909bbb5de329e45169 |
completed | March 12, 2026, 11:51 a.m. |
Created at: March 8, 2026, 3:09 p.m.