Triple
T1338379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NS Stations |
E28407
|
entity |
| Predicate | associatedWithBrand |
P2830
|
FINISHED |
| Object | NS |
E109586
|
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: NS | Statement: [NS Stations, associatedWithBrand, NS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS Context triple: [NS Stations, associatedWithBrand, NS]
-
A.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
-
B.
NS
chosen
NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
-
C.
SN
SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
-
D.
NST
NST is the standard time abbreviation for the Newfoundland Time Zone, which is uniquely offset by 3.5 hours from Coordinated Universal Time (UTC−3:30).
-
E.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47654288190851579e84c36ceac |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:56 p.m.