Triple
T10644780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maresme |
E250808
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Òrrius
Òrrius is a small municipality in the comarca of Maresme in Catalonia, Spain, known for its rural setting and surrounding forests.
|
E878047
|
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: Òrrius | Statement: [Maresme, hasMunicipality, Òrrius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Òrrius Context triple: [Maresme, hasMunicipality, Òrrius]
-
A.
Sinnuris
Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
-
B.
Orphir
Orphir is a small coastal village and parish on Mainland, Orkney, known for its historic Norse sites and rural island setting.
-
C.
Urstein
Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
-
D.
Oederan
Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
-
E.
Rognon
Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
- 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: Òrrius Triple: [Maresme, hasMunicipality, Òrrius]
Generated description
Òrrius is a small municipality in the comarca of Maresme in Catalonia, Spain, known for its rural setting and surrounding forests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Òrrius Target entity description: Òrrius is a small municipality in the comarca of Maresme in Catalonia, Spain, known for its rural setting and surrounding forests.
-
A.
Sinnuris
Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
-
B.
Orphir
Orphir is a small coastal village and parish on Mainland, Orkney, known for its historic Norse sites and rural island setting.
-
C.
Urstein
Urstein is a locality in the municipality of Puch bei Hallein in the Austrian state of Salzburg, known for hosting the Salzburg University of Applied Sciences campus.
-
D.
Oederan
Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
-
E.
Rognon
Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.