Triple
T11800829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Nicolás |
E280620
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Comuna 1 |
E733121
|
NE FINISHED |
How this triple was built (2 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: Comuna 1 | Statement: [San Nicolás, partOf, Comuna 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comuna 1 Context triple: [San Nicolás, partOf, Comuna 1]
-
A.
Comuna 3
Comuna 3 is an administrative division of Buenos Aires, Argentina, that encompasses central neighborhoods including Balvanera.
-
B.
Comuna 4
Comuna 4 is an administrative commune of Buenos Aires that includes neighborhoods such as La Boca in the city’s southern area.
-
C.
Comuna 1 of Buenos Aires
chosen
Comuna 1 of Buenos Aires is a central administrative district of Argentina’s capital city that encompasses several historic and downtown neighborhoods, including Monserrat.
-
D.
Comuna 15 of Buenos Aires
Comuna 15 of Buenos Aires is an administrative district in the northern part of Argentina’s capital city, encompassing several residential neighborhoods with a mix of commercial areas and urban infrastructure.
-
E.
María Elena Commune
María Elena Commune is an administrative division in Chile’s Antofagasta Region, historically known for its nitrate mining industry and desert landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13129fa608190b080dc27f8bd7803 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.