Triple
T1338255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam–Utrecht railway |
E28404
|
entity |
| Predicate | signallingSystem |
P19148
|
FINISHED |
| Object |
ATB-EG
ATB-EG is a Dutch train protection and signalling system used to control train speeds and enhance safety on the national railway network.
|
E153680
|
NE FINISHED |
How this triple was built (4 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–Utrecht railway, signallingSystem, ATB-EG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATB-EG Context triple: [Amsterdam–Utrecht railway, signallingSystem, ATB-EG]
-
A.
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.
-
B.
ATG
ATG is the three-letter ISO 3166-1 alpha-3 country code assigned to Antigua and Barbuda.
-
C.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
D.
AT4
AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
-
E.
ATAG
ATAG (Authoring Tool Accessibility Guidelines) is a W3C specification that defines how software used to create web content should support accessibility both in its user interface and in the content it produces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ATB-EG Triple: [Amsterdam–Utrecht railway, signallingSystem, ATB-EG]
Generated description
ATB-EG is a Dutch train protection and signalling system used to control train speeds and enhance safety on the national railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATB-EG Target entity description: ATB-EG is a Dutch train protection and signalling system used to control train speeds and enhance safety on the national railway network.
-
A.
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.
-
B.
ATG
ATG is the three-letter ISO 3166-1 alpha-3 country code assigned to Antigua and Barbuda.
-
C.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
D.
AT4
AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
-
E.
ATAG
ATAG (Authoring Tool Accessibility Guidelines) is a W3C specification that defines how software used to create web content should support accessibility both in its user interface and in the content it produces.
- F. None of above. chosen
Provenance (5 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_69acc62e4c788190824df2a9b81692d7 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6ae66408190bf48fe3150a08116 |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc73b92248190b723cb64046799e3 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:56 p.m.