Triple
T11703257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra Gaúcha |
E278175
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Igrejinha
Igrejinha is a small town in southern Brazil’s Rio Grande do Sul state, known for its German cultural heritage and traditional festivals.
|
E941800
|
NE FINISHED |
How this triple was built (4 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: Igrejinha | Statement: [Serra Gaúcha, hasMajorTown, Igrejinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igrejinha Context triple: [Serra Gaúcha, hasMajorTown, Igrejinha]
-
A.
Igreja da Luz
Igreja da Luz is a Catholic church in the coastal village of Praia da Luz in Portugal, serving as a local parish and religious landmark for the community.
-
B.
Posto Santo
Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
C.
Campinho
Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
D.
Capela Nova
Capela Nova is a historic Baroque-style chapel and notable religious monument located in the city of Vila Real, Portugal.
-
E.
Candelária
Candelária is a civil parish on the island of São Miguel in the Azores, Portugal, known for its rural landscape and Atlantic coastal setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Igrejinha Triple: [Serra Gaúcha, hasMajorTown, Igrejinha]
Generated description
Igrejinha is a small town in southern Brazil’s Rio Grande do Sul state, known for its German cultural heritage and traditional festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Igrejinha Target entity description: Igrejinha is a small town in southern Brazil’s Rio Grande do Sul state, known for its German cultural heritage and traditional festivals.
-
A.
Igreja da Luz
Igreja da Luz is a Catholic church in the coastal village of Praia da Luz in Portugal, serving as a local parish and religious landmark for the community.
-
B.
Posto Santo
Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
C.
Campinho
Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
D.
Capela Nova
Capela Nova is a historic Baroque-style chapel and notable religious monument located in the city of Vila Real, Portugal.
-
E.
Candelária
Candelária is a civil parish on the island of São Miguel in the Azores, Portugal, known for its rural landscape and Atlantic coastal setting.
- F. None of above. chosen
Provenance (5 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83525ae081909ee6f3fbb5d37dd7 |
completed | April 27, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69ef9b673120819097b542bb9a8f8bdb |
completed | April 27, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd683366881909dd9621e7c57d0be |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:40 p.m.