Triple
T1172556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraíba |
E24946
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Guarabira
Guarabira is a municipality in the state of Paraíba, Brazil, known as a regional commercial and cultural center in the Brejo Paraibano area.
|
E135015
|
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: Guarabira | Statement: [Paraíba, hasCity, Guarabira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guarabira Context triple: [Paraíba, hasCity, Guarabira]
-
A.
Cajicá
Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
-
B.
Estelí
Estelí is a city in northern Nicaragua known for its tobacco production, cigar industry, and role as a commercial and cultural center in the region.
-
C.
Soacha
Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
-
D.
Cuenca
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
-
E.
Suesca
Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
- 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: Guarabira Triple: [Paraíba, hasCity, Guarabira]
Generated description
Guarabira is a municipality in the state of Paraíba, Brazil, known as a regional commercial and cultural center in the Brejo Paraibano area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guarabira Target entity description: Guarabira is a municipality in the state of Paraíba, Brazil, known as a regional commercial and cultural center in the Brejo Paraibano area.
-
A.
Cajicá
Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
-
B.
Estelí
Estelí is a city in northern Nicaragua known for its tobacco production, cigar industry, and role as a commercial and cultural center in the region.
-
C.
Soacha
Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
-
D.
Cuenca
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
-
E.
Suesca
Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcecab688190b21a926874cd98d1 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f1a13bc81909da2cfdbad397861 |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac6f904c8c81908ea352ee440f8244 |
completed | March 7, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7076e494819098b279ac59427b82 |
completed | March 7, 2026, 6:37 p.m. |
Created at: March 1, 2026, 7:45 p.m.