Triple
T12084493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Rio dos Sinos |
E287770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nova Hartz
Nova Hartz is a small municipality in the state of Rio Grande do Sul in southern Brazil, known for its integration into the industrial and urban region of the Vale do Rio dos Sinos.
|
E967466
|
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: Nova Hartz | Statement: [Vale do Rio dos Sinos, contains, Nova Hartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova Hartz Context triple: [Vale do Rio dos Sinos, contains, Nova Hartz]
-
A.
Rosalie
Rosalie is a musical comedy best known for its Broadway production featuring music by George Gershwin and Sigmund Romberg.
-
B.
Rosalie
Rosalie is the given first name of American actress and model Andie MacDowell.
-
C.
Rosalie
"Rosalie" is a popular song by composer Cole Porter, featured in the Ella Fitzgerald album "Ella Fitzgerald Sings the Cole Porter Song Book."
-
D.
Rosalie
"Rosalie" is a rock song popularized by Irish band Thin Lizzy, known for its energetic style and storytelling lyrics.
-
E.
Margo Lion
Margo Lion was a prominent American theatrical producer known for shepherding numerous successful Broadway shows, including major musical hits.
- 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: Nova Hartz Triple: [Vale do Rio dos Sinos, contains, Nova Hartz]
Generated description
Nova Hartz is a small municipality in the state of Rio Grande do Sul in southern Brazil, known for its integration into the industrial and urban region of the Vale do Rio dos Sinos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nova Hartz Target entity description: Nova Hartz is a small municipality in the state of Rio Grande do Sul in southern Brazil, known for its integration into the industrial and urban region of the Vale do Rio dos Sinos.
-
A.
Rosalie
Rosalie is the given first name of American actress and model Andie MacDowell.
-
B.
Rosalie
"Rosalie" is a popular song by composer Cole Porter, featured in the Ella Fitzgerald album "Ella Fitzgerald Sings the Cole Porter Song Book."
-
C.
Rosalie
"Rosalie" is a rock song popularized by Irish band Thin Lizzy, known for its energetic style and storytelling lyrics.
-
D.
Rosalie
Rosalie is a musical comedy best known for its Broadway production featuring music by George Gershwin and Sigmund Romberg.
-
E.
Margo Lion
Margo Lion was a prominent American theatrical producer known for shepherding numerous successful Broadway shows, including major musical hits.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:48 p.m.