Triple
T13144044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biotrén |
E312288
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Concepción station |
E1025056
|
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: Concepción station | Statement: [Biotrén, hasStation, Concepción station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concepción station Context triple: [Biotrén, hasStation, Concepción station]
-
A.
Concepción station
chosen
Concepción station is a key commuter rail stop on Chile’s Biotrén system serving the city of Concepción and its metropolitan area.
-
B.
Niquía station
Niquía station is a major northern terminal station of the Medellín Metro system, serving as a key access point to the metropolitan area.
-
C.
Río de los Remedios station
Río de los Remedios station is a Mexico City Metro rapid transit stop serving commuters in the northern metropolitan area along Line B.
-
D.
Delanco station
Delanco station is a light rail stop on NJ Transit's River Line in Delanco Township, New Jersey, providing local commuter service between Camden and Trenton.
-
E.
Santiago Bueras station
Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
- 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_69f6ff09a964819097fbb37a7f11eac5 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:10 p.m.