Triple
T4533838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel de Arriaga |
E106358
|
entity |
| Predicate | headOfGovernment |
P307
|
FINISHED |
| Object |
Pimenta de Castro
Pimenta de Castro was a Portuguese military officer and politician who briefly served as prime minister during the turbulent early years of the First Portuguese Republic.
|
E450877
|
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: Pimenta de Castro | Statement: [Manuel de Arriaga, headOfGovernment, Pimenta de Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pimenta de Castro Context triple: [Manuel de Arriaga, headOfGovernment, Pimenta de Castro]
-
A.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
-
B.
Macua
Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
-
C.
Mustardinha
Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
-
D.
Cajueiro
Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
-
E.
Ameixial
Ameixial is a small rural village in Portugal’s Algarve region, known for its traditional character and scenic surroundings in the interior hills.
- 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: Pimenta de Castro Triple: [Manuel de Arriaga, headOfGovernment, Pimenta de Castro]
Generated description
Pimenta de Castro was a Portuguese military officer and politician who briefly served as prime minister during the turbulent early years of the First Portuguese Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pimenta de Castro Target entity description: Pimenta de Castro was a Portuguese military officer and politician who briefly served as prime minister during the turbulent early years of the First Portuguese Republic.
-
A.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
-
B.
Macua
Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
-
C.
Mustardinha
Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
-
D.
Cajueiro
Cajueiro is a neighborhood within the city of Recife in northeastern Brazil.
-
E.
Ameixial
Ameixial is a small rural village in Portugal’s Algarve region, known for its traditional character and scenic surroundings in the interior hills.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a08ec4819091b84d53d7b564a7 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacea41bc8190b49c9d1a31d7930f |
completed | March 20, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69bdb220bc6481908955c5c953bbfb97 |
completed | March 20, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdb2871e3481908d143c52d9e7141f |
completed | March 20, 2026, 8:48 p.m. |
Created at: March 20, 2026, 1:04 p.m.