Triple
T13484939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamshedpur |
E318470
|
entity |
| Predicate | majorCompany |
P597
|
FINISHED |
| Object | Tata Cummins |
E655824
|
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: Tata Cummins | Statement: [Jamshedpur, majorCompany, Tata Cummins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tata Cummins Context triple: [Jamshedpur, majorCompany, Tata Cummins]
-
A.
Tata Cummins
chosen
Tata Cummins is a leading Indian manufacturer of diesel and natural gas engines for commercial vehicles and industrial applications, formed as a joint venture between Tata Motors and Cummins Inc.
-
B.
Mack Trucks
Mack Trucks is a historic American truck manufacturing company best known for its heavy-duty commercial vehicles and iconic bulldog logo.
-
C.
Nissan Titan
The Nissan Titan is a full-size pickup truck produced by Nissan, designed primarily for the North American market and known for its powerful V8 engines and work-focused capability.
-
D.
Peterbilt
Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
-
E.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.