Triple
T29374366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Salvador e Santa Maria |
E744948
|
entity |
| Predicate | hasMunicipalityCapital |
P161953
|
FINISHED |
| Object | Odemira |
—
|
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: Odemira | Statement: [São Salvador e Santa Maria, hasMunicipalityCapital, Odemira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalityCapital Context triple: [São Salvador e Santa Maria, hasMunicipalityCapital, Odemira]
-
A.
isCapitalMunicipalityOf
Indicates that a municipality serves as the official capital (administrative center) of a specified larger region, such as a state, province, or country.
-
B.
municipalityCapital
chosen
Indicates that one entity serves as the administrative capital or seat of government for a given municipality.
-
C.
hasMetropolitanCityCapital
Indicates that an administrative region or entity has, as its capital, a city classified as a metropolitan city.
-
D.
hasMunicipalLeaderSeat
Indicates that a specific location serves as the official seat or office location of a municipal leader (e.g., mayor) for a municipality.
-
E.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 28, 2026, 2:30 p.m.