Triple
T19019100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapashera subdivision |
E465435
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object | Kapashera |
—
|
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: Kapashera | Statement: [Kapashera subdivision, hasAdministrativeCentre, Kapashera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapashera Context triple: [Kapashera subdivision, hasAdministrativeCentre, Kapashera]
-
A.
Kapashera
chosen
Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
-
B.
Khanke
Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
-
C.
Kukawa
Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
-
D.
Kabaena
Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
-
E.
Kesbewa
Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6ddc9608190a1daec9ddcc79a7a |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.