Triple
T5024610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João de Castilho |
E112943
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object | Manueline |
E104031
|
NE FINISHED |
How this triple was built (2 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: Manueline | Statement: [João de Castilho, style, Manueline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manueline Context triple: [João de Castilho, style, Manueline]
-
A.
Manueline
chosen
Manueline is an ornate, late Gothic architectural style from early 16th-century Portugal, characterized by intricate maritime and royal motifs.
-
B.
El Miguelete
El Miguelete is the iconic Gothic bell tower of Valencia, Spain, renowned as a symbol of the city and a popular viewpoint over its historic center.
-
C.
Manziana
Manziana is a small town in the Lazio region of central Italy, northwest of Rome, known for its wooded nature reserve and volcanic landscape.
-
D.
Libro de Manuel
Libro de Manuel is a politically charged novel by Argentine writer Julio Cortázar that blends experimental narrative techniques with themes of Latin American revolution and activism.
-
E.
Manjil
Manjil is a town in northern Iran known for its strong winds and wind farms, situated in the mountainous region of Gilan Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736852e88190b69d6561ca7604c3 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9286bb28819095ca0ec858061419 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:36 p.m.