Triple
T19789624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipal Council Balaghat |
E475374
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Balaghat |
—
|
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: Balaghat | Statement: [Municipal Council Balaghat, locatedIn, Balaghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balaghat Context triple: [Municipal Council Balaghat, locatedIn, Balaghat]
-
A.
Balaghat
chosen
Balaghat is a city in the Indian state of Madhya Pradesh known for its rich mineral resources, especially manganese and copper, and its proximity to forested and wildlife-rich areas.
-
B.
Talagunda
Talagunda is an ancient village in Karnataka, India, renowned for its early Kadamba dynasty inscriptions that are crucial to the study of South Indian history and scripts.
-
C.
Elora
Elora is a faun character from the Spyro the Dragon video game series who guides and assists Spyro on his adventures in Avalar.
-
D.
Elora
Elora is a picturesque village in southwestern Ontario, Canada, renowned for its historic limestone architecture and the scenic Elora Gorge along the Grand River.
-
E.
Deogarh
Deogarh was a historic kingdom ruled by the Gonds, an indigenous community in central India.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.