Triple
T8921797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karanja taluka |
E212436
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Karanja |
E212429
|
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: Karanja | Statement: [Karanja taluka, administrativeCentre, Karanja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karanja Context triple: [Karanja taluka, administrativeCentre, Karanja]
-
A.
Karanja (Ghadge)
chosen
Karanja (Ghadge) is a town in Maharashtra, India, known as a local administrative and commercial center within the Wardha district.
-
B.
Fagara
Fagara is a genus of flowering plants in the citrus family Rutaceae, known for species that often have aromatic properties and spiny stems.
-
C.
Bagassa
Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
-
D.
Khaya
Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
-
E.
Guaiúba
Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc665024f081909515e02e5f5b2221 |
completed | April 1, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4f094c81909a30d3be640ac9e0 |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.