Triple
T12276898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayfawa dynasty |
E292610
|
entity |
| Predicate | capitalAtVariousTimes |
P14584
|
FINISHED |
| Object | Njimi |
E772711
|
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: Njimi | Statement: [Sayfawa dynasty, capitalAtVariousTimes, Njimi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Njimi Context triple: [Sayfawa dynasty, capitalAtVariousTimes, Njimi]
-
A.
Njimi
chosen
Njimi was an important medieval city that served as the early capital of the Kanem-Bornu Empire in Central Africa.
-
B.
Himarë
Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
-
C.
Tepelenë
Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
-
D.
Anjezë
Anjezë is the birth name of Mother Teresa, the Catholic nun and missionary renowned for her humanitarian work among the poor in Kolkata, India.
-
E.
Nimari
Nimari is an Indo-Aryan language spoken primarily in the Nimar region of the Indian state of Madhya Pradesh.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6d72d081908c8697257df712f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.