Triple
T878359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapocho River |
E18971
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Providencia
Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
|
E103259
|
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: Providencia | Statement: [Mapocho River, near, Providencia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Providencia Context triple: [Mapocho River, near, Providencia]
-
A.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
-
B.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
C.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
D.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
E.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
- 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: Providencia Triple: [Mapocho River, near, Providencia]
Generated description
Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Providencia Target entity description: Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
-
A.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
-
B.
Mirande
Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
-
C.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
D.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
E.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acb1dc20819095b9bb093158b60d |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b854469c81908dc4a5c29ee140a4 |
completed | March 4, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a7b985298c8190b465ce0589cd2c24 |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba478a008190bf8c02ad6066b3cd |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.