Triple
T9299639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guarda District |
E223725
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Almeida
Almeida is a historic fortified town and municipality in northeastern Portugal, renowned for its star-shaped defensive walls and well-preserved military architecture.
|
E789636
|
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: Almeida | Statement: [Guarda District, containsMunicipality, Almeida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almeida Context triple: [Guarda District, containsMunicipality, Almeida]
-
A.
Almeida
Almeida is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and traditional agricultural economy.
-
B.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
C.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
D.
Amarante
Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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: Almeida Triple: [Guarda District, containsMunicipality, Almeida]
Generated description
Almeida is a historic fortified town and municipality in northeastern Portugal, renowned for its star-shaped defensive walls and well-preserved military architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almeida Target entity description: Almeida is a historic fortified town and municipality in northeastern Portugal, renowned for its star-shaped defensive walls and well-preserved military architecture.
-
A.
Almeida
Almeida is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and traditional agricultural economy.
-
B.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
C.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
D.
Amarante
Amarante is a Portuguese wine subregion within Vinho Verde, known for producing fresh, often slightly sparkling white wines as well as some reds and rosés.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b25ac97881908751b466b370b7e5 |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b301659481909c1865884421fcde |
completed | April 4, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b38ae1ec8190b36019d3a642290d |
completed | April 4, 2026, 6:45 a.m. |
Created at: March 30, 2026, 7:36 p.m.