Triple
T4407809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fogo |
E93776
|
entity |
| Predicate | hasPortugueseNameMeaning |
P56089
|
FINISHED |
| Object | fire |
—
|
LITERAL 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: fire | Statement: [Fogo, hasPortugueseNameMeaning, fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortugueseNameMeaning Context triple: [Fogo, hasPortugueseNameMeaning, fire]
-
A.
nameInPortuguese
Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
-
B.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
-
C.
hasEnglishNameMeaning
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
D.
hasGivenNameMeaning
Indicates that a given name carries a particular meaning or semantic interpretation.
-
E.
hasEthnonymMeaning
Indicates that one entity is the meaning or semantic interpretation of an ethnonym (a name for an ethnic group) associated with another entity.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548cb92881908a3f98466da8e0a2 |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:28 p.m.