Triple
T4229229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Concepción |
E94535
|
entity |
| Predicate | hasPublicTransportSystem |
P474
|
FINISHED |
| Object | Biotrén |
E312286
|
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: Biotrén | Statement: [Greater Concepción, hasPublicTransportSystem, Biotrén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biotrén Context triple: [Greater Concepción, hasPublicTransportSystem, Biotrén]
-
A.
Biotrén
chosen
Biotrén is a suburban commuter rail system serving the Greater Concepción area in southern Chile.
-
B.
Megatren
Megatren is the local name for Manila’s LRT Line 2, an elevated rapid transit line serving key east–west corridors in Metro Manila, Philippines.
-
C.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
-
D.
Atripé
Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
-
E.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e61ccc081909b880baf1d6a0f24 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5964cd0088190a97ca5278046ba7b |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:05 p.m.