Triple
T16727455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maruti Suzuki |
E406498
|
entity |
| Predicate | assemblyPlantLocation |
P4859
|
FINISHED |
| Object | Manesar, Haryana |
E1201535
|
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: Manesar, Haryana | Statement: [Maruti Suzuki, assemblyPlantLocation, Manesar, Haryana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manesar, Haryana Context triple: [Maruti Suzuki, assemblyPlantLocation, Manesar, Haryana]
-
A.
Manesar
chosen
Manesar is an industrial and residential township in Haryana, India, known for its manufacturing hubs and proximity to Gurgaon and Delhi.
-
B.
Rewari
Rewari is a historic city in the Indian state of Haryana, located near Delhi and known for its brass industry and strategic position in northern India.
-
C.
Kharghar
Kharghar is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its planned infrastructure and connectivity to Mumbai via the suburban railway network.
-
D.
Alipur
Alipur is a locality in the northern part of Delhi, India, known for its role in regional governance and its mix of urban and semi-rural character.
-
E.
Alipur
Alipur is a city in southern Punjab, Pakistan, known as a local commercial and administrative center in the Muzaffargarh District.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38748f538819097de1fdee9b42f34 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.