Triple
T33825026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Hora da Estrela |
E866933
|
entity |
| Predicate | settingRegionOfOriginOfProtagonist |
P28569
|
FINISHED |
| Object | Northeast Brazil |
—
|
NE NERFINISHED |
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: Northeast Brazil | Statement: [A Hora da Estrela, settingRegionOfOriginOfProtagonist, Northeast Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingRegionOfOriginOfProtagonist Context triple: [A Hora da Estrela, settingRegionOfOriginOfProtagonist, Northeast Brazil]
-
A.
protagonistOrigin
chosen
Indicates that one entity is the origin, source, or starting point of the protagonist in a narrative or story.
-
B.
setInFictionalizedRegionOf
Indicates that an event or narrative is located within a region that is a fictionalized or altered version of a real-world place.
-
C.
calendarRegionOfOrigin
Indicates the geographic or cultural region from which a particular calendar system originates.
-
D.
originalTerritory
Indicates that a specified area or region is the initial or historically established domain associated with an entity before any changes, transfers, or expansions.
-
E.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
- F. None of above.
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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:46 a.m.