Triple
T6159410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arriva Trains Northern |
E137402
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ATN |
E41481
|
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: ATN | Statement: [Arriva Trains Northern, hasAbbreviation, ATN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATN Context triple: [Arriva Trains Northern, hasAbbreviation, ATN]
-
A.
ATN
chosen
ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
-
B.
ATK
ATK is the stock ticker symbol for WS Atkins, a British multinational engineering and design consultancy firm.
-
C.
ATK
ATK is the IATA airport code for Atqasuk Edward Burnell Sr. Memorial Airport serving the village of Atqasuk in Alaska, United States.
-
D.
ATZ
ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
-
E.
ATQ
ATQ is the IATA airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1419064a48190880005459c86322c |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.