Triple
T958707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern |
E20684
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | Northern |
E20684
|
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: Northern | Statement: [Northern, brandName, Northern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Context triple: [Northern, brandName, Northern]
-
A.
Northern
chosen
Northern is a primary regional train operating company in Northern England, running local and commuter rail services across cities such as Manchester, Leeds, and Newcastle.
-
B.
North
North is an English surname historically associated with several notable figures in British politics and society.
-
C.
North East
North East is a rural town in northeastern Dutchess County, New York, known for its agricultural landscape and the village of Millerton.
-
D.
West
West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
-
E.
West
West is the commonly used short form for the NBA’s Western Conference, one of the league’s two main competitive groupings.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3fc94ec8190b55c6cdf3a37d6b5 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a212f08190ae2aad947226d09c |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.