Triple
T14288055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piura Region |
E354229
|
entity |
| Predicate | hasTouristDestination |
P6629
|
FINISHED |
| Object |
Mancora
Máncora is a popular beach town in northern Peru known for its sunny weather, surfing waves, and vibrant nightlife.
|
E1091901
|
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: Mancora | Statement: [Piura Region, hasTouristDestination, Mancora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mancora Context triple: [Piura Region, hasTouristDestination, Mancora]
-
A.
Saltangará
Saltangará is a village on the Faroe Islands' island of Eysturoy, known as a small coastal settlement within this North Atlantic archipelago.
-
B.
Pasuquin
Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
-
C.
Capurro
Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
-
D.
Malargüe
Malargüe is a city in Argentina’s Mendoza Province known as a gateway to the Andean highlands, volcanic landscapes, and regional astronomical and scientific observatories.
-
E.
Loncoche
Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
- 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: Mancora Triple: [Piura Region, hasTouristDestination, Mancora]
Generated description
Máncora is a popular beach town in northern Peru known for its sunny weather, surfing waves, and vibrant nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mancora Target entity description: Máncora is a popular beach town in northern Peru known for its sunny weather, surfing waves, and vibrant nightlife.
-
A.
Saltangará
Saltangará is a village on the Faroe Islands' island of Eysturoy, known as a small coastal settlement within this North Atlantic archipelago.
-
B.
Pasuquin
Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
-
C.
Capurro
Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
-
D.
Malargüe
Malargüe is a city in Argentina’s Mendoza Province known as a gateway to the Andean highlands, volcanic landscapes, and regional astronomical and scientific observatories.
-
E.
Loncoche
Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1e14d4819091c381f96c43c58b |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e6dde6081908a37817e4dd22ecd |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f42ccdc81908399d8f9a2f0da31 |
completed | May 8, 2026, 1:41 a.m. |
Created at: April 10, 2026, 1:11 a.m.