Triple
T1781640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beja District |
E39302
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
|
E203758
|
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: Alvito | Statement: [Beja District, containsMunicipality, Alvito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvito Context triple: [Beja District, containsMunicipality, Alvito]
-
A.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
B.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
-
C.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
D.
Galluzzo
Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
-
E.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
- 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: Alvito Triple: [Beja District, containsMunicipality, Alvito]
Generated description
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvito Target entity description: Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
-
A.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
B.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
-
C.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
D.
Galluzzo
Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
-
E.
Ariberto
Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e34fe881908aa75f2b4141b87b |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf52266081909b7478d76664d387 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc0a3fdd88190b0ffa98db1b5cf80 |
completed | March 8, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc12c894881909c9a82fc9e363a41 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 4, 2026, 7:31 p.m.