Triple
T6262839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavanputra |
E140341
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Marutisuta |
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: Marutisuta | Statement: [Pavanputra, relatedName, Marutisuta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marutisuta Context triple: [Pavanputra, relatedName, Marutisuta]
-
A.
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.
-
B.
Maruti
chosen
Maruti is another name for the Hindu deity Hanuman, revered as a symbol of strength, devotion, and protection.
-
C.
Marut
Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
-
D.
Isuzu
Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
-
E.
Suzuki Alto
The Suzuki Alto is a long-running line of compact city cars known for their affordability, fuel efficiency, and popularity in markets worldwide.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06387fec0819095b47a37b9402aa9 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2445061a481909487fdb04c50493b |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.