Triple
T15354214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazonas |
E367132
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Itacoatiara
Itacoatiara is a significant river port city in the Brazilian state of Amazonas, located along the Amazon River and serving as an important regional commercial and transportation hub.
|
E1151551
|
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: Itacoatiara | Statement: [Amazonas, hasMajorCity, Itacoatiara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itacoatiara Context triple: [Amazonas, hasMajorCity, Itacoatiara]
-
A.
Igaratá
Igaratá is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and reservoir that attracts tourism and outdoor recreation.
-
B.
Arujá
Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
-
C.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
D.
Araruama
Araruama is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its large saltwater lagoon and tourism.
-
E.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
- 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: Itacoatiara Triple: [Amazonas, hasMajorCity, Itacoatiara]
Generated description
Itacoatiara is a significant river port city in the Brazilian state of Amazonas, located along the Amazon River and serving as an important regional commercial and transportation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itacoatiara Target entity description: Itacoatiara is a significant river port city in the Brazilian state of Amazonas, located along the Amazon River and serving as an important regional commercial and transportation hub.
-
A.
Igaratá
Igaratá is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and reservoir that attracts tourism and outdoor recreation.
-
B.
Arujá
Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
-
C.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
D.
Araruama
Araruama is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its large saltwater lagoon and tourism.
-
E.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ff42d48190897e6653d2b4f8a4 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff036cf4c481909eaab72ee97fbf6c |
completed | May 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03d829d48190990412a84f4376dc |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:18 a.m.