Triple
T22425724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Faridabad |
E554362
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ballabgarh |
—
|
NE NERFINISHED |
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: Ballabgarh | Statement: [Old Faridabad, near, Ballabgarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ballabgarh Context triple: [Old Faridabad, near, Ballabgarh]
-
A.
Ballabgarh
chosen
Ballabgarh is a historic town and industrial hub in the Faridabad district of Haryana, India, known for its markets, temples, and manufacturing activity.
-
B.
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.
-
C.
Jasola
Jasola is a residential and commercial neighborhood in South Delhi, India, known for its mix of housing complexes, offices, and proximity to major roads and metro connectivity.
-
D.
Narela
Narela is a sub-city and industrial-residential area in the northern part of Delhi, India, known for its planned development and industrial estates.
-
E.
Azadpur
Azadpur is a locality in North Delhi, India, known for its major wholesale fruit and vegetable market and connectivity via the Delhi Metro.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2d4dd88190a156c24b02b1591b |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.