Triple
T19939640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhaula Kuan |
E479273
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chanakyapuri |
—
|
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: Chanakyapuri | Statement: [Dhaula Kuan, near, Chanakyapuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chanakyapuri Context triple: [Dhaula Kuan, near, Chanakyapuri]
-
A.
Chanakyapuri
chosen
Chanakyapuri is a prominent diplomatic enclave in New Delhi that houses numerous foreign embassies, high commissions, and international institutions.
-
B.
Mayur Vihar
Mayur Vihar is a residential neighborhood in East Delhi, India, known for its planned housing complexes and connectivity to the rest of the city via the Delhi Metro.
-
C.
Chandni Chowk
Chandni Chowk is one of Old Delhi’s oldest and busiest markets, famous for its narrow lanes, historic eateries, jewelry and textile shops, and vibrant street life.
-
D.
Daryaganj
Daryaganj is a historic neighborhood in Old Delhi, India, known for its Sunday book market, publishing houses, and colonial-era architecture.
-
E.
Pari Chowk
Pari Chowk is a prominent commercial and transit hub in Greater Noida, India, serving as a key metro station and landmark on the Noida Metro network.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.