Triple
T3608738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Region |
E76433
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Pinhel
Pinhel is a historic municipality and city in central Portugal known for its medieval castle and well-preserved old town.
|
E374161
|
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: Pinhel | Statement: [Centro Region, containsCity, Pinhel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinhel Context triple: [Centro Region, containsCity, Pinhel]
-
A.
Caldas de Monchique
Caldas de Monchique is a small spa village in Portugal’s Algarve region, renowned for its thermal springs and scenic mountain setting.
-
B.
Elvas
Elvas is a historic fortified city in eastern Portugal, near the Spanish border, renowned for its extensive star-shaped fortifications and aqueduct, both recognized as UNESCO World Heritage sites.
-
C.
Vidigueira
Vidigueira is a municipality in Portugal’s Alentejo region, known for its wine production and historical ties to the explorer Vasco da Gama.
-
D.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
E.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
- 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: Pinhel Triple: [Centro Region, containsCity, Pinhel]
Generated description
Pinhel is a historic municipality and city in central Portugal known for its medieval castle and well-preserved old town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pinhel Target entity description: Pinhel is a historic municipality and city in central Portugal known for its medieval castle and well-preserved old town.
-
A.
Caldas de Monchique
Caldas de Monchique is a small spa village in Portugal’s Algarve region, renowned for its thermal springs and scenic mountain setting.
-
B.
Elvas
Elvas is a historic fortified city in eastern Portugal, near the Spanish border, renowned for its extensive star-shaped fortifications and aqueduct, both recognized as UNESCO World Heritage sites.
-
C.
Vidigueira
Vidigueira is a municipality in Portugal’s Alentejo region, known for its wine production and historical ties to the explorer Vasco da Gama.
-
D.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
-
E.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
- 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.