Triple
T11136938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Pleasant campus |
E263438
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Harare city centre |
E8616
|
NE FINISHED |
How this triple was built (2 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: Harare city centre | Statement: [Mount Pleasant campus, near, Harare city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harare city centre Context triple: [Mount Pleasant campus, near, Harare city centre]
-
A.
Mount Pleasant, Harare
Mount Pleasant, Harare is a northern suburb of Zimbabwe’s capital city known for hosting major educational institutions, including the University of Zimbabwe.
-
B.
Harare
chosen
Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
-
C.
Munhumutapa Building, Harare
Munhumutapa Building in Harare is a prominent government complex that houses the executive offices of Zimbabwe’s president.
-
D.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
E.
Harare regional bureau
The Harare regional bureau is an INTERPOL regional office that coordinates international police cooperation and crime-fighting efforts among member countries in the Southern African region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463177bfc81908a3e66ffc0777777 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.