Triple
T15115810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbica Airport |
E361035
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Cumbica district |
E955163
|
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: Cumbica district | Statement: [Cumbica Airport, locatedNear, Cumbica district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cumbica district Context triple: [Cumbica Airport, locatedNear, Cumbica district]
-
A.
Cumbica district
chosen
Cumbica district is a neighborhood in Guarulhos, São Paulo, best known for hosting the major international airport serving the São Paulo metropolitan area.
-
B.
Omate District
Omate District is an administrative district located within Peru's southern Andean region, known for its rural communities and highland landscapes.
-
C.
Molo district
Molo district is an area in Iloilo City, Philippines, known for its historic heritage and religious landmarks.
-
D.
Curado district
Curado district is a neighborhood-level administrative area within the city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
-
E.
Mitte district
Mitte district is a central borough of Berlin known for its historic landmarks, government buildings, and cultural institutions.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.