Triple
T1103768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Grande do Norte |
E25441
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Natal
Natal is a coastal city in northeastern Brazil known for its beaches, sand dunes, and role as a regional tourism and economic hub.
|
E127485
|
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: Natal | Statement: [Rio Grande do Norte, capital, Natal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natal Context triple: [Rio Grande do Norte, capital, Natal]
-
A.
Natal
Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
-
B.
Lindos
Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
-
C.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
D.
Palmer
Palmer is an English surname borne by numerous notable figures, including politicians, artists, and scientists, and is derived from medieval pilgrims who carried palm branches.
-
E.
Savannah
Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
- 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: Natal Triple: [Rio Grande do Norte, capital, Natal]
Generated description
Natal is a coastal city in northeastern Brazil known for its beaches, sand dunes, and role as a regional tourism and economic hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natal Target entity description: Natal is a coastal city in northeastern Brazil known for its beaches, sand dunes, and role as a regional tourism and economic hub.
-
A.
Natal
Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
-
B.
Lindos
Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
-
C.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
D.
Palmer
Palmer is an English surname borne by numerous notable figures, including politicians, artists, and scientists, and is derived from medieval pilgrims who carried palm branches.
-
E.
Savannah
Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5391a4a88190b7ef6993b2b85b08 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac542bac488190b7d6c2ed9a919779 |
completed | March 7, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac54971fc88190b009a05180f10cf5 |
completed | March 7, 2026, 4:38 p.m. |
Created at: March 1, 2026, 7:43 p.m.