Triple
T1026139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arequipa |
E22142
|
entity |
| Predicate | hasNearbyVolcano |
P10443
|
FINISHED |
| Object |
Chachani
Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
|
E123701
|
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: Chachani | Statement: [Arequipa, hasNearbyVolcano, Chachani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chachani Context triple: [Arequipa, hasNearbyVolcano, Chachani]
-
A.
Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
-
B.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
-
C.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
D.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
-
E.
Pachacámac
Pachacámac is a district in the Lima Province of Peru, known for its important pre-Columbian archaeological site and temples dedicated to the deity Pachacámac.
- 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: Chachani Triple: [Arequipa, hasNearbyVolcano, Chachani]
Generated description
Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chachani Target entity description: Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
-
A.
Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
-
B.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
-
C.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
D.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
-
E.
Pachacámac
Pachacámac is a district in the Lima Province of Peru, known for its important pre-Columbian archaeological site and temples dedicated to the deity Pachacámac.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bb71e7f88190bf33bbe5ef2c68ff |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42947f2c8190b83c6b958987cb7b |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac43d060608190b8c5ce73b95bee46 |
completed | March 7, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac443cdea081909b937aba21d878c7 |
completed | March 7, 2026, 3:29 p.m. |
Created at: March 1, 2026, 7:41 p.m.