Triple
T5200249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajrangbali |
E117375
|
entity |
| Predicate | hasOtherName |
P39
|
FINISHED |
| Object | Maruti |
E117374
|
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: Maruti | Statement: [Bajrangbali, hasOtherName, Maruti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maruti Context triple: [Bajrangbali, hasOtherName, Maruti]
-
A.
Maruti
chosen
Maruti is another name for the Hindu deity Hanuman, revered as a symbol of strength, devotion, and protection.
-
B.
Maruti Suzuki
Maruti Suzuki is India’s largest automobile manufacturer, best known for producing affordable, mass-market passenger vehicles that dominate the country’s car market.
-
C.
Tata Motors
Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
-
D.
Suzuki Baleno
The Suzuki Baleno is a compact car produced by Suzuki, known for its practicality, fuel efficiency, and popularity in emerging markets.
-
E.
Tata
Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a209d7c81908fa0d3bf2c482a34 |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0a37d8c8190842de23da26dd2cb |
completed | March 21, 2026, 6:17 p.m. |
Created at: March 20, 2026, 1:47 p.m.