Triple
T22990181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Olinda |
E572023
|
entity |
| Predicate | officeNameInPortuguese |
P150546
|
FINISHED |
| Object | Prefeito de Olinda |
—
|
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: Prefeito de Olinda | Statement: [Mayor of Olinda, officeNameInPortuguese, Prefeito de Olinda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeNameInPortuguese Context triple: [Mayor of Olinda, officeNameInPortuguese, Prefeito de Olinda]
-
A.
officeName
Indicates the official name assigned to an office or workplace.
-
B.
officeNameInDutch
Indicates the Dutch-language name or title used for a particular office, position, or role.
-
C.
officeNameInFrench
Indicates the French-language name or label used for a particular office or official position.
-
D.
officeNameInNynorsk
Indicates the name of an office expressed in the Nynorsk written standard of the Norwegian language.
-
E.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ee3afc819099fbc6bef0b83bd5 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.