Triple
T15567904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idanha-a-Nova |
E374162
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Idanha-a-Velha
Idanha-a-Velha is a historic village in central Portugal renowned for its well-preserved Roman and medieval archaeological remains.
|
E1166612
|
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: Idanha-a-Velha | Statement: [Idanha-a-Nova, contains, Idanha-a-Velha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idanha-a-Velha Context triple: [Idanha-a-Nova, contains, Idanha-a-Velha]
-
A.
Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Celorico de Basto
Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
-
D.
Vilar Formoso
Vilar Formoso is a Portuguese border town in the municipality of Almeida, known as one of the main rail and road gateways between Portugal and Spain.
-
E.
Santos-o-Velho
Santos-o-Velho is a historic riverside neighborhood in Lisbon, Portugal, known for its old convents, palaces, and vibrant nightlife along the Tagus.
- 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: Idanha-a-Velha Triple: [Idanha-a-Nova, contains, Idanha-a-Velha]
Generated description
Idanha-a-Velha is a historic village in central Portugal renowned for its well-preserved Roman and medieval archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Idanha-a-Velha Target entity description: Idanha-a-Velha is a historic village in central Portugal renowned for its well-preserved Roman and medieval archaeological remains.
-
A.
Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Celorico de Basto
Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
-
D.
Vilar Formoso
Vilar Formoso is a Portuguese border town in the municipality of Almeida, known as one of the main rail and road gateways between Portugal and Spain.
-
E.
Santos-o-Velho
Santos-o-Velho is a historic riverside neighborhood in Lisbon, Portugal, known for its old convents, palaces, and vibrant nightlife along the Tagus.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58334f688190907e331755156c8a |
completed | May 9, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff588814808190a7e593a5ae80f816 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:10 a.m.