Triple
T3848832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin-Schöneberg station |
E85239
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | BLS |
E110111
|
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: BLS | Statement: [Berlin-Schöneberg station, hasStationCode, BLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLS Context triple: [Berlin-Schöneberg station, hasStationCode, BLS]
-
A.
BLS
BLS is the former New York Stock Exchange ticker symbol for BellSouth Corporation, a major U.S. telecommunications company that was later acquired by AT&T.
-
B.
BLS
BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
-
C.
BLS AG
chosen
BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
-
D.
BSL
BSL is the primary sign language used by Deaf communities in the United Kingdom, with its own distinct grammar and vocabulary separate from spoken English.
-
E.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcde86081908cf3840ae002acfa |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504172d58819089d19f5cb7b803ec |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.