Triple
T6732953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATB-EG |
E153680
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
ATB-NG
ATB-NG is a modernized successor to the ATB-EG system, designed as its next-generation iteration.
|
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-NG | Statement: [ATB-EG, successor, ATB-NG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATB-NG Context triple: [ATB-EG, successor, ATB-NG]
-
A.
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.
-
B.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
-
C.
ABT
ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
-
D.
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.
-
E.
ANBG
ANBG is the acronym for the Australian National Botanic Gardens, a major botanical institution in Canberra dedicated to the study, conservation, and display of Australia's native plant species.
- 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-NG Triple: [ATB-EG, successor, ATB-NG]
Generated description
ATB-NG is a modernized successor to the ATB-EG system, designed as its next-generation iteration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATB-NG Target entity description: ATB-NG is a modernized successor to the ATB-EG system, designed as its next-generation iteration.
-
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.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
-
C.
ABT
ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
-
D.
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.
-
E.
ANBG
ANBG is the acronym for the Australian National Botanic Gardens, a major botanical institution in Canberra dedicated to the study, conservation, and display of Australia's native plant species.
- F. None of above.
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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ba51c81908dbf56b49d8360a8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0502d081909662028e2b40c7f3 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70ba06a5c81909b65b52d21d37104 |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c755054819087d0db6f94d69eae |
completed | March 27, 2026, 11:02 p.m. |
Created at: March 27, 2026, 2:09 p.m.