Triple
T12809641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pere de Sagarriga |
E306236
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sagarriga
Sagarriga is a Catalan surname historically associated with medieval nobility and clerical figures in the Crown of Aragon.
|
E1004996
|
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: Sagarriga | Statement: [Pere de Sagarriga, familyName, Sagarriga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagarriga Context triple: [Pere de Sagarriga, familyName, Sagarriga]
-
A.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
B.
Agarfa
Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
-
C.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
D.
Huelma
Huelma is a municipality in the province of Jaén, Andalusia, Spain, known for its rural setting and cultural landmarks.
-
E.
Glarentza
Glarentza was a medieval port city in the Peloponnese that served as a major commercial and administrative center during the Frankish rule of Greece.
- 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: Sagarriga Triple: [Pere de Sagarriga, familyName, Sagarriga]
Generated description
Sagarriga is a Catalan surname historically associated with medieval nobility and clerical figures in the Crown of Aragon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagarriga Target entity description: Sagarriga is a Catalan surname historically associated with medieval nobility and clerical figures in the Crown of Aragon.
-
A.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
B.
Agarfa
Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
-
C.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
D.
Huelma
Huelma is a municipality in the province of Jaén, Andalusia, Spain, known for its rural setting and cultural landmarks.
-
E.
Glarentza
Glarentza was a medieval port city in the Peloponnese that served as a major commercial and administrative center during the Frankish rule of Greece.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e817598819080fdd61e9d61236e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec89eb081909915af6e2216e0a2 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68fb6790881908c1d6f53b54906a2 |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f690c0bd208190bd1f04a9640ad1ce |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 9, 2026, 5:31 p.m.