Triple
T9661837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishkur |
E233607
|
entity |
| Predicate | cultCenter |
P9995
|
FINISHED |
| Object | Karkara |
E341597
|
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: Karkara | Statement: [Ishkur, cultCenter, Karkara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karkara Context triple: [Ishkur, cultCenter, Karkara]
-
A.
Wukari
chosen
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
B.
Bourkika
Bourkika is a town and commune in northern Algeria, situated within the coastal Tipaza Province west of Algiers.
-
C.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
D.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
E.
Karam
Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0b7728819099473f404382b26a |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a1422348190967943b0d4da8efd |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.