Triple
T15861230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwe National Water Authority |
E384590
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ZINWA
ZINWA is Zimbabwe’s national authority responsible for managing and regulating the country’s water resources and related infrastructure.
|
E1180836
|
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: ZINWA | Statement: [Zimbabwe National Water Authority, shortName, ZINWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZINWA Context triple: [Zimbabwe National Water Authority, shortName, ZINWA]
-
A.
Zinza
The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
-
B.
ZINARA
ZINARA is the state agency in Zimbabwe responsible for collecting and managing road user fees and funding the maintenance and development of the national road network.
-
C.
Zumwa
Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
-
D.
Zini
Zini is a wisecracking lemur who serves as comic relief and a close friend to the protagonist in Disney's 2000 animated film "Dinosaur."
-
E.
Zim
Zim is the overzealous and inept alien invader protagonist of the animated television series "Invader Zim."
- 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: ZINWA Triple: [Zimbabwe National Water Authority, shortName, ZINWA]
Generated description
ZINWA is Zimbabwe’s national authority responsible for managing and regulating the country’s water resources and related infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZINWA Target entity description: ZINWA is Zimbabwe’s national authority responsible for managing and regulating the country’s water resources and related infrastructure.
-
A.
Zinza
The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
-
B.
ZINARA
ZINARA is the state agency in Zimbabwe responsible for collecting and managing road user fees and funding the maintenance and development of the national road network.
-
C.
Zumwa
Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
-
D.
Zini
Zini is a wisecracking lemur who serves as comic relief and a close friend to the protagonist in Disney's 2000 animated film "Dinosaur."
-
E.
Zim
Zim is the overzealous and inept alien invader protagonist of the animated television series "Invader Zim."
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555b952481909246f5ebf53df2a9 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9439db481908be2f6d8a3cfbc85 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:50 a.m.