Triple
T11589247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khargone district |
E274834
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Sanawad |
E540644
|
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: Sanawad | Statement: [Khargone district, containsTown, Sanawad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanawad Context triple: [Khargone district, containsTown, Sanawad]
-
A.
Sanawad
chosen
Sanawad is a prominent town in the Nimar region of Madhya Pradesh, central India, known as a local commercial and administrative center.
-
B.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
-
C.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
D.
Savadatti
Savadatti is a historic town in Karnataka, India, known for its ancient temples and hilltop fort.
-
E.
Shakardara
Shakardara is a town and administrative settlement in Pakistan’s Khyber Pakhtunkhwa province, known for its role within the Kohat region.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e71451f1388190b72d7b755d198999 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.