Triple
T3608743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Region |
E76433
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Oleiros
Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
|
E374163
|
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: Oleiros | Statement: [Centro Region, containsCity, Oleiros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleiros Context triple: [Centro Region, containsCity, Oleiros]
-
A.
Feteiras
Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
B.
Odeleite
Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
-
C.
Vinantes
Vinantes is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
D.
Pescadores
Pescadores is the former Western name for the Penghu archipelago, a group of islands in the Taiwan Strait known for their fishing communities and strategic maritime location.
-
E.
Comedor de Aguiar
Comedor de Aguiar is the elegant fine-dining restaurant inside Havana’s historic Hotel Nacional de Cuba, known for its classic Cuban and international cuisine.
- 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: Oleiros Triple: [Centro Region, containsCity, Oleiros]
Generated description
Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oleiros Target entity description: Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
-
A.
Feteiras
Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
B.
Odeleite
Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
-
C.
Vinantes
Vinantes is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
D.
Pescadores
Pescadores is the former Western name for the Penghu archipelago, a group of islands in the Taiwan Strait known for their fishing communities and strategic maritime location.
-
E.
Comedor de Aguiar
Comedor de Aguiar is the elegant fine-dining restaurant inside Havana’s historic Hotel Nacional de Cuba, known for its classic Cuban and international cuisine.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22a3cf081908c20b6fb55be0db2 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4330de7a08190933aa7e9dc0a65be |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b437cf839881909b1d505328285123 |
completed | March 13, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43835994c81909230bbb21b12b8ef |
completed | March 13, 2026, 4:15 p.m. |
Created at: March 8, 2026, 3:22 p.m.