Triple
T13489997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Melbourne |
E318607
|
entity |
| Predicate | nearbyFacility |
P350
|
FINISHED |
| Object | Mario Zucchelli Station |
E593252
|
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: Mario Zucchelli Station | Statement: [Mount Melbourne, nearbyFacility, Mario Zucchelli Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Zucchelli Station Context triple: [Mount Melbourne, nearbyFacility, Mario Zucchelli Station]
-
A.
Mario Zucchelli Station
chosen
Mario Zucchelli Station is an Italian Antarctic research base located on the coast of Victoria Land, supporting scientific studies in fields such as glaciology, geology, and atmospheric science.
-
B.
Carlini Station
Carlini Station is an Argentine Antarctic research base on King George Island, focused on scientific studies of the polar environment and climate.
-
C.
Giovanni Gronchi station
Giovanni Gronchi station is a metro station on São Paulo’s Line 5–Lilac, serving the city’s south side.
-
D.
Maria Cristina station
Maria Cristina station is a Barcelona Metro stop located in the Les Corts district, serving passengers on the city's Line 3.
-
E.
Bellavista station
Bellavista station is a passenger rail stop on the Valparaíso Metro system serving the coastal city of Valparaíso, Chile.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463b758c8190abc0dd2a049d751e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.