Triple
T29887483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Sebastião do Rio de Janeiro |
E759055
|
entity |
| Predicate | isFormalNameOf |
P168696
|
FINISHED |
| Object | Rio de Janeiro |
—
|
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: Rio de Janeiro | Statement: [São Sebastião do Rio de Janeiro, isFormalNameOf, Rio de Janeiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFormalNameOf Context triple: [São Sebastião do Rio de Janeiro, isFormalNameOf, Rio de Janeiro]
-
A.
isProperNounFormOf
Indicates that one term is the proper-noun (capitalized, name-like) form of another, more general or common expression.
-
B.
isGivenNameFormOf
Indicates that one name is a given-name variant or form derived from another name.
-
C.
isCourtesyNameOf
Indicates that one name is the courtesy name (formal adult name) traditionally used to refer to a specific person.
-
D.
isEarlyNameOf
Indicates that one name is an earlier or former designation for the same entity as another name.
-
E.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
- F. None of above. chosen
Provenance (4 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676fdaee481908b38890b2e8aaf4b |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 29, 2026, 6 p.m.