Triple
T2759240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Paz Department |
E61179
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
|
E296349
|
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: Achacachi | Statement: [La Paz Department, containsCity, Achacachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achacachi Context triple: [La Paz Department, containsCity, Achacachi]
-
A.
Chachani
Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
-
B.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
C.
Aguaruna
Aguaruna are an Indigenous people of the Peruvian Amazon, known for their Jivaroan language, forest-based livelihoods, and strong traditions of autonomy and resistance.
-
D.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
E.
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.
- 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: Achacachi Triple: [La Paz Department, containsCity, Achacachi]
Generated description
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Achacachi Target entity description: Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
A.
Chachani
Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
-
B.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
C.
Aguaruna
Aguaruna are an Indigenous people of the Peruvian Amazon, known for their Jivaroan language, forest-based livelihoods, and strong traditions of autonomy and resistance.
-
D.
Pichasca
Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
-
E.
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.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc040c5f08190898e81938afe6884 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0c3db88819094cb835ce9401f03 |
completed | March 10, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1213c008190beb7e65eadc97ed5 |
completed | March 10, 2026, 6:58 a.m. |
Created at: March 6, 2026, 9:57 p.m.