Triple
T12034076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imereti |
E286488
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Kharagauli |
E99977
|
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: Kharagauli | Statement: [Imereti, containsCity, Kharagauli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kharagauli Context triple: [Imereti, containsCity, Kharagauli]
-
A.
Kharagauli
chosen
Kharagauli is a small town in western Georgia known as a gateway to the Borjomi-Kharagauli National Park and as a local transport and administrative hub.
-
B.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
-
C.
Kalghatgi
Kalghatgi is a town in the Dharwad district of Karnataka, India, known for its surrounding forests and agricultural economy.
-
D.
Shangarh
Shangarh is a scenic Himalayan village in Himachal Pradesh, India, known for its expansive meadows, traditional wooden temples, and tranquil setting within the Great Himalayan National Park region.
-
E.
Kheragarh
Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040724ec8190808f334013ddc6d6 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f646423c819088575a7032e6a9a3 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.