Triple
T2759243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Paz Department |
E61179
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Coroico
Coroico is a small, scenic town in Bolivia’s Yungas region, known for its lush subtropical landscapes and role as a popular tourist gateway from La Paz.
|
E296072
|
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: Coroico | Statement: [La Paz Department, containsCity, Coroico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coroico Context triple: [La Paz Department, containsCity, Coroico]
-
A.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
-
B.
Ouahigouya
Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
-
C.
Irazú
Irazú is an active stratovolcano in Costa Rica known for its high elevation, frequent historical eruptions, and crater lakes near the city of Cartago.
-
D.
Chocontá
Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
-
E.
Antisana
Antisana is a massive, glaciated stratovolcano in the Ecuadorian Andes, known for its high elevation and extensive ice cap.
- 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: Coroico Triple: [La Paz Department, containsCity, Coroico]
Generated description
Coroico is a small, scenic town in Bolivia’s Yungas region, known for its lush subtropical landscapes and role as a popular tourist gateway from La Paz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coroico Target entity description: Coroico is a small, scenic town in Bolivia’s Yungas region, known for its lush subtropical landscapes and role as a popular tourist gateway from La Paz.
-
A.
Caparrapí
Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
-
B.
Ouahigouya
Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
-
C.
Irazú
Irazú is an active stratovolcano in Costa Rica known for its high elevation, frequent historical eruptions, and crater lakes near the city of Cartago.
-
D.
Chocontá
Chocontá is a municipality and town in central Colombia known for its agricultural production and colonial-era history.
-
E.
Antisana
Antisana is a massive, glaciated stratovolcano in the Ecuadorian Andes, known for its high elevation and extensive ice cap.
- 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_69afbbe2d9cc81909b041635ae793bc3 |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbcc1dd988190826ab05e55adf1ee |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd452e1c8190a3ee9eaf642e80a0 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:57 p.m.