Triple
T11962256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Línea 6 |
E284696
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Bio Bío |
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: Bio Bío | Statement: [Línea 6, hasStation, Bio Bío]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bio Bío Context triple: [Línea 6, hasStation, Bio Bío]
-
A.
BIO
BIO is the IATA airport code for Bilbao Airport, the main international airport serving the city of Bilbao and the Basque Country in northern Spain.
-
B.
Biot
Biot is a picturesque medieval village in southeastern France’s Alpes-Maritimes department, renowned for its glassblowing tradition and hilltop views near the French Riviera.
-
C.
Biu
Biu is a town in northeastern Nigeria that serves as a local commercial and administrative center in Borno State.
-
D.
Biotrén
chosen
Biotrén is a suburban commuter rail system serving the Greater Concepción area in southern Chile.
-
E.
Biolon
Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4594054f08190b28b35f62dfb9198 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.