Triple
T19638923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakataka period |
E471475
|
entity |
| Predicate | majorSite |
P2462
|
FINISHED |
| Object | Ramtek |
—
|
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: Ramtek | Statement: [Vakataka period, majorSite, Ramtek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramtek Context triple: [Vakataka period, majorSite, Ramtek]
-
A.
Ramtek
chosen
Ramtek is a historic town in Maharashtra, India, known for its ancient temples and cultural significance in the Nagpur district.
-
B.
Narsimha Enterprises
Narsimha Enterprises is a film production company associated with Indian producer Boney Kapoor, known for backing various Hindi cinema projects.
-
C.
Tata Advanced Systems
Tata Advanced Systems is an Indian aerospace and defense manufacturing company specializing in high-technology solutions and strategic partnerships for military and civilian applications.
-
D.
Jomark
Jomark is a remote, forested planet in the Star Wars Expanded Universe, best known as the place where Luke Skywalker trains under the unstable Jedi Master Joruus C’baoth in Timothy Zahn’s Thrawn Trilogy.
-
E.
Ramco AG
Ramco AG was the original corporate entity that later evolved into Ivoclar Vivadent, a major global manufacturer of dental materials and technologies.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641090c408190b2adb8a6abf1b4c9 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.