Triple
T11805872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Prefecture |
E280745
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Niiza |
E717838
|
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: Niiza | Statement: [Saitama Prefecture, hasMajorCity, Niiza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niiza Context triple: [Saitama Prefecture, hasMajorCity, Niiza]
-
A.
Niiza
chosen
Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
-
B.
Niazi
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
-
C.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
D.
Nyaturu
Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
-
E.
Itilima
Itilima is a town and administrative district in northern Tanzania's Simiyu Region, known primarily for its role in local governance and agriculture.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1315b4b1481908106984a1362be89 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.