Triple
T2462676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chimborazo Province |
E54567
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alausí
Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
|
E274474
|
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: Alausí | Statement: [Chimborazo Province, contains, Alausí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alausí Context triple: [Chimborazo Province, contains, Alausí]
-
A.
Alcohuaz
Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
-
B.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
C.
Ataypura
"Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
-
D.
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
-
E.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
- 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: Alausí Triple: [Chimborazo Province, contains, Alausí]
Generated description
Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alausí Target entity description: Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
-
A.
Alcohuaz
Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
-
B.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
C.
Ataypura
"Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
-
D.
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
-
E.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11f093c8190877db3026d430bd5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b7af0d4819080fda496670bc5d7 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af4e3c7c5c81909b434bf26a130a23 |
completed | March 9, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4e8f62f88190859f11c3e1623c89 |
completed | March 9, 2026, 10:49 p.m. |
Created at: March 6, 2026, 9:44 p.m.