Triple
T15068564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto de Mós |
E379816
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object |
Pedreiras
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
|
E1135551
|
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: Pedreiras | Statement: [Porto de Mós, hasCivilParish, Pedreiras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedreiras Context triple: [Porto de Mós, hasCivilParish, Pedreiras]
-
A.
Pedreira
Pedreira is a municipality in the state of São Paulo, Brazil, known for its ceramics industry and decorative household goods.
-
B.
Piedras
Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
-
C.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
D.
Paredones
Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
-
E.
Rochas
Rochas is a French fashion and perfume house renowned for its elegant couture and iconic fragrances.
- 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: Pedreiras Triple: [Porto de Mós, hasCivilParish, Pedreiras]
Generated description
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pedreiras Target entity description: Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
A.
Pedreira
Pedreira is a municipality in the state of São Paulo, Brazil, known for its ceramics industry and decorative household goods.
-
B.
Piedras
Piedras is a station on Buenos Aires’ historic Line A subway, serving the central Monserrat area near Avenida de Mayo.
-
C.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
D.
Paredones
Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
-
E.
Rochas
Rochas is a French fashion and perfume house renowned for its elegant couture and iconic fragrances.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cd4b6c8190aa9ff73d5be31864 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea8e838b4819091e0a3d099c49059 |
completed | May 9, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea986e0dc8190a56e71288c6a7ef4 |
completed | May 9, 2026, 3:27 a.m. |
Created at: April 10, 2026, 3:02 a.m.