Triple
T10698978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harare Province |
E252219
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ruwa |
E867449
|
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: Ruwa | Statement: [Harare Province, contains, Ruwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruwa Context triple: [Harare Province, contains, Ruwa]
-
A.
Ruwa
chosen
Ruwa is a rapidly growing town in Zimbabwe located just east of Harare, known as a residential and light industrial center in Mashonaland East Province.
-
B.
Zumwa
Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
-
C.
Ndugu
Ndugu is a surname of likely African origin borne by various individuals, including those with the given name Bailey.
-
D.
Niiza
Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
-
E.
Maasi
Maasi is a late-winter month in the traditional Tamil calendar, typically corresponding to February–March in the Gregorian calendar and associated with various Hindu religious observances.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.