Triple
T22615126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alto Oeste Potiguar |
E558123
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Pilões
Pilões is a small municipality located in the Alto Oeste region of the state of Rio Grande do Norte in northeastern Brazil.
|
E1545852
|
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: Pilões | Statement: [Alto Oeste Potiguar, hasMunicipality, Pilões]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilões Context triple: [Alto Oeste Potiguar, hasMunicipality, Pilões]
-
A.
Pedreiras
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
B.
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
-
C.
Piedras
Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
-
D.
La Pila
La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
-
E.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
- 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: Pilões Triple: [Alto Oeste Potiguar, hasMunicipality, Pilões]
Generated description
Pilões is a small municipality located in the Alto Oeste region of the state of Rio Grande do Norte in northeastern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pilões Target entity description: Pilões is a small municipality located in the Alto Oeste region of the state of Rio Grande do Norte in northeastern Brazil.
-
A.
Pedreiras
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
B.
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
-
C.
Piedras
Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
-
D.
La Pila
La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
-
E.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167edec2481909c2f06607b3cb8f6 |
completed | April 29, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4dff7e008190a16aa3ff4e8e50a8 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b4fe0bbd88190b09e2b131a8920b2 |
completed | May 18, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b506216a481908b05ab46ff3e8ce1 |
completed | May 18, 2026, 5:46 p.m. |
Created at: April 17, 2026, 2:59 p.m.