Triple
T15900241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zvishavane |
E385565
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Shabani
Shabani is the former name of the Zimbabwean mining town now known as Zvishavane, historically associated with asbestos and other mineral extraction.
|
E1182971
|
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: Shabani | Statement: [Zvishavane, formerName, Shabani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shabani Context triple: [Zvishavane, formerName, Shabani]
-
A.
Shabestar
Shabestar is a city in northwestern Iran known for its historical sites and its location within East Azerbaijan Province.
-
B.
Shabaki
Shabaki is an Indo-Iranian language spoken primarily by the Shabak ethnic minority in northern Iraq.
-
C.
Shakara
Shakara is a classic Afrobeat song and album by Nigerian musician Fela Kuti, known for its hypnotic grooves, sharp social commentary, and pioneering fusion of jazz, funk, and African rhythms.
-
D.
Shab Row
Shab Row is a historic, boutique-filled shopping and dining district in downtown Frederick, Maryland, known for its restored 19th-century buildings and charming streetscape.
-
E.
Zabana
Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
- 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: Shabani Triple: [Zvishavane, formerName, Shabani]
Generated description
Shabani is the former name of the Zimbabwean mining town now known as Zvishavane, historically associated with asbestos and other mineral extraction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shabani Target entity description: Shabani is the former name of the Zimbabwean mining town now known as Zvishavane, historically associated with asbestos and other mineral extraction.
-
A.
Shabestar
Shabestar is a city in northwestern Iran known for its historical sites and its location within East Azerbaijan Province.
-
B.
Shabaki
Shabaki is an Indo-Iranian language spoken primarily by the Shabak ethnic minority in northern Iraq.
-
C.
Shakara
Shakara is a classic Afrobeat song and album by Nigerian musician Fela Kuti, known for its hypnotic grooves, sharp social commentary, and pioneering fusion of jazz, funk, and African rhythms.
-
D.
Shab Row
Shab Row is a historic, boutique-filled shopping and dining district in downtown Frederick, Maryland, known for its restored 19th-century buildings and charming streetscape.
-
E.
Zabana
Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563cd2f081909404d724ecc8785a |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04f3ea08190b5581768770677e8 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb13fdb6c819091c3ee5c1f199031 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb208aef881909b3a00e0015c27df |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:51 a.m.