Triple
T5290699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bane NOR |
E119733
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Bane NOR SF |
E119733
|
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: Bane NOR SF | Statement: [Bane NOR, fullName, Bane NOR SF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bane NOR SF Context triple: [Bane NOR, fullName, Bane NOR SF]
-
A.
Bane NOR
chosen
Bane NOR is the Norwegian state-owned company responsible for owning, operating, and developing the national railway infrastructure.
-
B.
Banes
Banes is a coastal municipality in eastern Cuba’s Holguín Province, historically known for its sugar industry and archaeological sites.
-
C.
BAF
BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
-
D.
BAYN
BAYN is the stock ticker symbol for Bayer AG, the German multinational pharmaceutical and life sciences company.
-
E.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eac7b88190900142bd1310c0fd |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06f066988190a3df7e270df84fdd |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.