Triple
T10741718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pompeu Fabra |
E253341
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fabra
Fabra is a Catalan surname most notably borne by Pompeu Fabra, the engineer and linguist who standardized the modern Catalan language.
|
E883845
|
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: Fabra | Statement: [Pompeu Fabra, familyName, Fabra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabra Context triple: [Pompeu Fabra, familyName, Fabra]
-
A.
Güell
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
-
B.
Seix Barral
Seix Barral is a renowned Spanish publishing house known for its influential role in promoting contemporary literature in the Spanish-speaking world.
-
C.
Puig
Puig is a Spanish surname most notably associated with Argentine novelist and screenwriter Manuel Puig, known for works like "Kiss of the Spider Woman."
-
D.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
E.
Badalona Pompeu Fabra
Badalona Pompeu Fabra is a Barcelona Metro station serving as the northern terminus of line 2 in the city of Badalona.
- 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: Fabra Triple: [Pompeu Fabra, familyName, Fabra]
Generated description
Fabra is a Catalan surname most notably borne by Pompeu Fabra, the engineer and linguist who standardized the modern Catalan language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabra Target entity description: Fabra is a Catalan surname most notably borne by Pompeu Fabra, the engineer and linguist who standardized the modern Catalan language.
-
A.
Güell
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
-
B.
Seix Barral
Seix Barral is a renowned Spanish publishing house known for its influential role in promoting contemporary literature in the Spanish-speaking world.
-
C.
Puig
Puig is a Spanish surname most notably associated with Argentine novelist and screenwriter Manuel Puig, known for works like "Kiss of the Spider Woman."
-
D.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
E.
Badalona Pompeu Fabra
Badalona Pompeu Fabra is a Barcelona Metro station serving as the northern terminus of line 2 in the city of Badalona.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22fc13b0819098caf88328397053 |
completed | April 14, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.