Triple
T1358043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam–Arnhem railway |
E29033
|
entity |
| Predicate | signallingSystem |
P19148
|
FINISHED |
| Object | ATB-EG |
E153680
|
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: ATB-EG | Statement: [Amsterdam–Arnhem railway, signallingSystem, ATB-EG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATB-EG Context triple: [Amsterdam–Arnhem railway, signallingSystem, ATB-EG]
-
A.
ATB-EG
chosen
ATB-EG is a Dutch train protection and signalling system used to control train speeds and enhance safety on the national railway network.
-
B.
ATN
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.
-
C.
ATG
ATG is the three-letter ISO 3166-1 alpha-3 country code assigned to Antigua and Barbuda.
-
D.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
E.
AT4
AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce701a84819094815ab6e8383b76 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.