Triple
T24323562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parish of Nossa Senhora da Luz |
E613034
|
entity |
| Predicate | hasPortugueseMeaning |
P56089
|
FINISHED |
| Object | Our Lady of the Light |
—
|
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: Our Lady of the Light | Statement: [Parish of Nossa Senhora da Luz, hasPortugueseMeaning, Our Lady of the Light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortugueseMeaning Context triple: [Parish of Nossa Senhora da Luz, hasPortugueseMeaning, Our Lady of the Light]
-
A.
hasPortugueseNameMeaning
chosen
Indicates that an entity has a Portuguese name whose semantic meaning is being specified or referenced.
-
B.
hasAbbreviationInPortuguese
Indicates that one entity is used as the Portuguese-language abbreviation or shortened form of another entity.
-
C.
cognateInPortuguese
Indicates that a word or term has a cognate (a related form with common etymological origin) in Portuguese.
-
D.
hasSpanishMeaning
Indicates that one entity serves as the Spanish-language meaning or translation of another entity.
-
E.
equivalentFormInPortuguese
Indicates that one linguistic form has an equivalent expression or representation in Portuguese.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ae127881909ef1772278181ce3 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:53 a.m.