Triple
T15028867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedrógão Grande |
E378287
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Graça
Graça is a civil parish located within the municipality of Pedrógão Grande in central Portugal.
|
E1133958
|
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: Graça | Statement: [Pedrógão Grande, hasParish, Graça]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graça Context triple: [Pedrógão Grande, hasParish, Graça]
-
A.
Graça
Graça is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional streets, viewpoints over the city, and classic tram connections.
-
B.
Redenção
Redenção is a municipality in the state of Ceará, Brazil, known historically as one of the first Brazilian cities to abolish slavery.
-
C.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
-
D.
Chiado
Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
-
E.
Campoalegre
Campoalegre is a municipality and town in southwestern Colombia, located in the Huila Department and known for its agricultural production.
- 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: Graça Triple: [Pedrógão Grande, hasParish, Graça]
Generated description
Graça is a civil parish located within the municipality of Pedrógão Grande in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graça Target entity description: Graça is a civil parish located within the municipality of Pedrógão Grande in central Portugal.
-
A.
Graça
Graça is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional streets, viewpoints over the city, and classic tram connections.
-
B.
Redenção
Redenção is a municipality in the state of Ceará, Brazil, known historically as one of the first Brazilian cities to abolish slavery.
-
C.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
-
D.
Chiado
Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
-
E.
Campoalegre
Campoalegre is a municipality and town in southwestern Colombia, located in the Huila Department and known for its agricultural production.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e5dbbe0819084567688758b0245 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 10, 2026, 2:58 a.m.