Triple
T15567299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazaré |
E374148
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pederneira
Pederneira is a historic hilltop district of Nazaré, Portugal, known for its traditional architecture and panoramic views over the Atlantic coast.
|
E1165468
|
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: Pederneira | Statement: [Nazaré, hasPart, Pederneira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pederneira Context triple: [Nazaré, hasPart, Pederneira]
-
A.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
B.
Puntallana
Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
-
C.
Raposeira
Raposeira is a small village in Portugal’s Algarve region, known for its rural charm and proximity to the Atlantic coast near Vila do Bispo.
-
D.
Zamboanguita
Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
-
E.
Bermejo
Bermejo is a Bolivian city in the southern Tarija region, known as a border and trade hub with Argentina and a center for sugarcane and citrus production.
- 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: Pederneira Triple: [Nazaré, hasPart, Pederneira]
Generated description
Pederneira is a historic hilltop district of Nazaré, Portugal, known for its traditional architecture and panoramic views over the Atlantic coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pederneira Target entity description: Pederneira is a historic hilltop district of Nazaré, Portugal, known for its traditional architecture and panoramic views over the Atlantic coast.
-
A.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
B.
Puntallana
Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
-
C.
Raposeira
Raposeira is a small village in Portugal’s Algarve region, known for its rural charm and proximity to the Atlantic coast near Vila do Bispo.
-
D.
Zamboanguita
Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
-
E.
Bermejo
Bermejo is a Bolivian city in the southern Tarija region, known as a border and trade hub with Argentina and a center for sugarcane and citrus production.
- 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_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50d54960819089491ccb580784b8 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5208e9a08190b4a6f4157cf3c237 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:10 a.m.