Triple
T1044213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanti Van |
E22538
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vijay Ghat |
E114022
|
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: Vijay Ghat | Statement: [Shanti Van, near, Vijay Ghat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijay Ghat Context triple: [Shanti Van, near, Vijay Ghat]
-
A.
Vijay Ghat
chosen
Vijay Ghat is a memorial site in Delhi dedicated to India’s second Prime Minister, Lal Bahadur Shastri.
-
B.
Maheshwar Ghat
Maheshwar Ghat is a historic and scenic riverfront on the Narmada in Madhya Pradesh, India, known for its ancient temples, stone steps, and association with Queen Ahilyabai Holkar.
-
C.
Kisan Ghat
Kisan Ghat is a memorial in Delhi dedicated to Indian farmers, located near the Raj Ghat complex.
-
D.
Omkareshwar Ghat
Omkareshwar Ghat is a prominent riverside bathing and pilgrimage site on the Narmada River, known for its religious significance and scenic surroundings near the Omkareshwar Jyotirlinga temple in Madhya Pradesh, India.
-
E.
Janpath
Janpath is a major shopping and commercial street in central New Delhi, India, known for its bustling markets, handicraft stalls, and proximity to key government and tourist landmarks.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429ad45481908641fcaf72f7d1b9 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.