Triple
T16777794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonaventure station |
E407772
|
entity |
| Predicate | code |
P1537
|
FINISHED |
| Object | BON |
E501454
|
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: BON | Statement: [Bonaventure station, code, BON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BON Context triple: [Bonaventure station, code, BON]
-
A.
BON
BON is the IATA airport code for Flamingo International Airport, the main air gateway to the Caribbean island of Bonaire.
-
B.
BON
chosen
BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
-
C.
BoN
BoN is the central bank of Namibia, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
-
D.
Bonne
Bonne of Berry was a 14th-century French noblewoman of the House of Valois, daughter of John II of France and a politically significant figure through her dynastic marriages.
-
E.
Bon
Bon is an ancient Tibetan spiritual tradition and religion, distinct from but historically intertwined with Buddhism, that encompasses rituals, cosmology, and practices rooted in the pre-Buddhist culture of Tibet.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b212fc248190a8fe1124853bf16d |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab00cf708190a2562fa14d72a4df |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.