Triple
T12213194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wajid Ali Shah |
E291015
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Metiabruz |
E279561
|
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: Metiabruz | Statement: [Wajid Ali Shah, deathPlace, Metiabruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metiabruz Context triple: [Wajid Ali Shah, deathPlace, Metiabruz]
-
A.
Metiabruz
chosen
Metiabruz is a locality in Kolkata, India, historically associated with the exiled Nawab Wajid Ali Shah and known for its cultural and textile traditions.
-
B.
Metiabruz area
Metiabruz area is a densely populated neighborhood in the southwestern part of Kolkata, known for its garment industry, Muslim-majority population, and proximity to the port and industrial zones.
-
C.
Bodéwadmi
Bodéwadmi are an Algonquian-speaking Indigenous people of the Great Lakes region in North America, known in English as the Potawatomi.
-
D.
Gallesio
Gallesio was an Italian botanist and naturalist best known for his pioneering studies on fruit trees and plant classification in the early 19th century.
-
E.
Mende
Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa13f64819096dc23295a6f0cdb |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.