Triple
T9939621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miranda River |
E194044
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
pt:Rio Miranda
Rio Miranda é o nome em português de um rio sul-americano conhecido por atravessar áreas de grande importância ecológica e paisagística.
|
E831403
|
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: pt:Rio Miranda | Statement: [Miranda River, hasNameInLanguage, pt:Rio Miranda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: pt:Rio Miranda Context triple: [Miranda River, hasNameInLanguage, pt:Rio Miranda]
-
A.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
B.
Mirado
Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
-
C.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
D.
Comune di Rio
Comune di Rio is an Italian municipality on the island of Elba in Tuscany, formed by the merger of several small coastal and inland communities including Rio Marina.
-
E.
Ribeiro
Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
- 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: pt:Rio Miranda Triple: [Miranda River, hasNameInLanguage, pt:Rio Miranda]
Generated description
Rio Miranda é o nome em português de um rio sul-americano conhecido por atravessar áreas de grande importância ecológica e paisagística.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: pt:Rio Miranda Target entity description: Rio Miranda é o nome em português de um rio sul-americano conhecido por atravessar áreas de grande importância ecológica e paisagística.
-
A.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
B.
Mirado
Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
-
C.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
D.
Comune di Rio
Comune di Rio is an Italian municipality on the island of Elba in Tuscany, formed by the merger of several small coastal and inland communities including Rio Marina.
-
E.
Ribeiro
Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e819e08190967b799fd236749e |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228fdb8e48190808702d48470395a |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22a2831348190909b9507edfe49f3 |
completed | April 5, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22af8914c8190a8116a37a42b633c |
completed | April 5, 2026, 9:27 a.m. |
Created at: March 30, 2026, 8:44 p.m.