Triple
T13143933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biotrén |
E312286
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | EFE Sur |
E1025046
|
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: EFE Sur | Statement: [Biotrén, operator, EFE Sur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFE Sur Context triple: [Biotrén, operator, EFE Sur]
-
A.
EFE
chosen
EFE is Chile’s state-owned railway company responsible for operating and managing much of the country’s passenger and freight rail network.
-
B.
Atresmedia
Atresmedia is a major Spanish media group that operates television channels, radio stations, and digital platforms, and is one of the country’s leading broadcasters.
-
C.
Meduza
Meduza is an Italian electronic music production trio best known for their chart-topping house tracks like "Piece of Your Heart" and "Lose Control."
-
D.
Ansa
Ansa was a Lombard queen consort of the 8th century, known as the wife of King Desiderius and a significant political and religious patron in the Lombard kingdom.
-
E.
El Mercurio
El Mercurio is one of Chile’s oldest and most influential daily newspapers, known for its conservative editorial stance and major role in the country’s political and media 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716bf10f48190b20d0358cf5fbc9e |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 9:10 p.m.