Triple
T2759239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Paz Department |
E61179
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Viacha
Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
|
E296071
|
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: Viacha | Statement: [La Paz Department, containsCity, Viacha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viacha Context triple: [La Paz Department, containsCity, Viacha]
-
A.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
B.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
C.
Vimioso
Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
-
D.
Kouri-Vini
Kouri-Vini is a French-based Creole language historically spoken in Louisiana, particularly among Creole communities of African, Native American, and European descent.
-
E.
Formoza
Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
- 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: Viacha Triple: [La Paz Department, containsCity, Viacha]
Generated description
Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viacha Target entity description: Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
-
A.
Vivarais
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
B.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
C.
Vimioso
Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
-
D.
Kouri-Vini
Kouri-Vini is a French-based Creole language historically spoken in Louisiana, particularly among Creole communities of African, Native American, and European descent.
-
E.
Formoza
Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
- 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.