Triple
T8604377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odemira |
E203760
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object |
Longueira/Almograve
Longueira/Almograve is a coastal civil parish in southern Portugal known for its beaches and rural landscapes within the municipality of Odemira.
|
E744951
|
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: Longueira/Almograve | Statement: [Odemira, hasCivilParish, Longueira/Almograve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longueira/Almograve Context triple: [Odemira, hasCivilParish, Longueira/Almograve]
-
A.
Largo da Oliveira
Largo da Oliveira is a historic square in the medieval center of Guimarães, Portugal, known for its preserved architecture and role as a focal point of the city's UNESCO-listed old town.
-
B.
Mação
Mação is a municipality in central Portugal known for its rural landscapes, archaeological heritage, and traditional villages.
-
C.
Longay
Longay is a small, uninhabited Scottish island located off the coast of Skye in the Inner Hebrides.
-
D.
Melgaço
Melgaço is a historic town and municipality in Portugal’s far north, known for its scenic Minho River landscapes, Alvarinho wine, and well-preserved medieval castle.
-
E.
Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
- 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: Longueira/Almograve Triple: [Odemira, hasCivilParish, Longueira/Almograve]
Generated description
Longueira/Almograve is a coastal civil parish in southern Portugal known for its beaches and rural landscapes within the municipality of Odemira.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longueira/Almograve Target entity description: Longueira/Almograve is a coastal civil parish in southern Portugal known for its beaches and rural landscapes within the municipality of Odemira.
-
A.
Largo da Oliveira
Largo da Oliveira is a historic square in the medieval center of Guimarães, Portugal, known for its preserved architecture and role as a focal point of the city's UNESCO-listed old town.
-
B.
Mação
Mação is a municipality in central Portugal known for its rural landscapes, archaeological heritage, and traditional villages.
-
C.
Longay
Longay is a small, uninhabited Scottish island located off the coast of Skye in the Inner Hebrides.
-
D.
Melgaço
Melgaço is a historic town and municipality in Portugal’s far north, known for its scenic Minho River landscapes, Alvarinho wine, and well-preserved medieval castle.
-
E.
Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dd8ff8819081ef269192047488 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f8dfa4819080c8ed475a84be41 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.