Triple
T961726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central India |
E20748
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Satna |
E111450
|
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: Satna | Statement: [Central India, containsCity, Satna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satna Context triple: [Central India, containsCity, Satna]
-
A.
Satna
chosen
Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
-
B.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
C.
Sibi
Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
-
D.
Gajanana
Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
-
E.
Shastina
Shastina is a prominent satellite cone and secondary peak on the western flank of California’s Mount Shasta, formed by later volcanic activity.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0503ec81908112cf30ca85530a |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:40 p.m.