Triple
T15568015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arganil |
E374165
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fajão
Fajão is a small village in central Portugal, situated in the mountainous region of the Arganil municipality.
|
E1167818
|
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: Fajão | Statement: [Arganil, contains, Fajão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fajão Context triple: [Arganil, contains, Fajão]
-
A.
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.
-
B.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
C.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
-
D.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
E.
Braz de Aviz
Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
- 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: Fajão Triple: [Arganil, contains, Fajão]
Generated description
Fajão is a small village in central Portugal, situated in the mountainous region of the Arganil municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fajão Target entity description: Fajão is a small village in central Portugal, situated in the mountainous region of the Arganil municipality.
-
A.
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.
-
B.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
C.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
-
D.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
E.
Braz de Aviz
Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f30e48881908b30a71796fe0d72 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff605d94308190bccbfb4588f337e1 |
completed | May 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff612340748190987e567e43460f62 |
completed | May 9, 2026, 4:30 p.m. |
Created at: April 10, 2026, 4:10 a.m.