Triple
T1203508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western India |
E25834
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object | Mewar |
E62850
|
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: Mewar | Statement: [Western India, hasCulturalRegion, Mewar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mewar Context triple: [Western India, hasCulturalRegion, Mewar]
-
A.
Mewar
chosen
Mewar is a historic region in northwestern India known for its Rajput heritage, hill forts, and former princely state centered around Udaipur.
-
B.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
-
C.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
D.
Myene
Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
-
E.
Ōiso
Ōiso is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former political retreat.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6ff3048190a420ee6c92fc9c71 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:46 p.m.