Triple
T2560973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Brazilians |
E57240
|
entity |
| Predicate | notableCity |
P2813
|
FINISHED |
| Object |
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
|
E278161
|
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: Panambi | Statement: [German Brazilians, notableCity, Panambi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panambi Context triple: [German Brazilians, notableCity, Panambi]
-
A.
Alappuzha
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Munnar
Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
-
D.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
E.
Thiruvanaikaval
Thiruvanaikaval is a temple town in Tamil Nadu, India, renowned for the historic Jambukeswarar Temple dedicated to Lord Shiva, one of the Pancha Bhoota Stalas.
- 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: Panambi Triple: [German Brazilians, notableCity, Panambi]
Generated description
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panambi Target entity description: Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
A.
Alappuzha
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
B.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
C.
Munnar
Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
-
D.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
E.
Thiruvanaikaval
Thiruvanaikaval is a temple town in Tamil Nadu, India, renowned for the historic Jambukeswarar Temple dedicated to Lord Shiva, one of the Pancha Bhoota Stalas.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd334b69481908a6f2c0b41550ce9 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d233dbc81909feb1127cffb027f |
completed | March 9, 2026, 11:52 p.m. |
| NEDg | Description generation | batch_69af60e78b488190bdd01ee77ed3648b |
completed | March 10, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af614ad2408190955c430cb7a7e302 |
completed | March 10, 2026, 12:09 a.m. |
Created at: March 6, 2026, 9:48 p.m.