Triple
T37778293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Município de Santa Maria de Jetibá |
E941749
|
entity |
| Predicate | possuiAtividade |
P162127
|
FINISHED |
| Object | festas típicas pomeranas |
—
|
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: festas típicas pomeranas | Statement: [Município de Santa Maria de Jetibá, possuiAtividade, festas típicas pomeranas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possuiAtividade Context triple: [Município de Santa Maria de Jetibá, possuiAtividade, festas típicas pomeranas]
-
A.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
B.
hasHumanActivities
chosen
Indicates that certain human actions, behaviors, or practices are present, performed, or associated with a given entity.
-
C.
has activity
Indicates that one entity performs, exhibits, or is engaged in a particular action, behavior, or process associated with another entity.
-
D.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
E.
hasSubjectActivity
Indicates that an entity is associated with or participates in a particular activity as its subject.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.