Triple
T18618709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shewa |
E455094
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Nazret |
—
|
NE NERFINISHED |
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: Nazret | Statement: [Shewa, containsCity, Nazret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazret Context triple: [Shewa, containsCity, Nazret]
-
A.
Nazret
chosen
Nazret, also known as Adama, is a major city in central Ethiopia that serves as an important commercial and transportation hub.
-
B.
Nazli
Nazli is a feminine given name of Persian and Turkish origin, commonly used in various Middle Eastern and Balkan cultures.
-
C.
Narjis
Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
-
D.
Juwayriya
Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
-
E.
Zinya
Zinya is a diminutive, affectionate form of the Russian male given name Zinovy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d07dc288190bb3b8b5ab06518da |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:46 a.m.