Triple
T11571357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Railways of Zimbabwe |
E274393
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
NRZ
NRZ is the state-owned railway company responsible for operating and managing Zimbabwe’s national rail transport network.
|
E934050
|
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: NRZ | Statement: [National Railways of Zimbabwe, shortName, NRZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NRZ Context triple: [National Railways of Zimbabwe, shortName, NRZ]
-
A.
NRZI
NRZI (Non-Return-to-Zero Inverted) is a digital line coding scheme that represents binary data by inverting the signal level on a '1' and leaving it unchanged on a '0', commonly used in various networking and storage technologies.
-
B.
NRZ-L
NRZ-L (Non-Return-to-Zero-Level) is a digital line coding scheme in which binary data is represented by two distinct voltage levels that remain constant throughout each bit interval.
-
C.
NR
NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
-
D.
NR
NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
-
E.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
- 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: NRZ Triple: [National Railways of Zimbabwe, shortName, NRZ]
Generated description
NRZ is the state-owned railway company responsible for operating and managing Zimbabwe’s national rail transport network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NRZ Target entity description: NRZ is the state-owned railway company responsible for operating and managing Zimbabwe’s national rail transport network.
-
A.
NRZI
NRZI (Non-Return-to-Zero Inverted) is a digital line coding scheme that represents binary data by inverting the signal level on a '1' and leaving it unchanged on a '0', commonly used in various networking and storage technologies.
-
B.
NRZ-L
NRZ-L (Non-Return-to-Zero-Level) is a digital line coding scheme in which binary data is represented by two distinct voltage levels that remain constant throughout each bit interval.
-
C.
NR
NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
-
D.
NR
NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
-
E.
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8eface48190a2ed3275191b01ea |
completed | April 21, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69e6ef9631e48190aef47bba9ad611e8 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f94ac2d0819098a3024eaab908b5 |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:38 p.m.