Triple
T16235072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodhi Road |
E394083
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Lodhi Gardens |
E394084
|
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: Lodhi Gardens | Statement: [Lodhi Road, passesNear, Lodhi Gardens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodhi Gardens Context triple: [Lodhi Road, passesNear, Lodhi Gardens]
-
A.
Lodhi Gardens
chosen
Lodhi Gardens is a historic public park in New Delhi, India, known for its landscaped gardens and 15th-century Lodi dynasty tombs.
-
B.
Shalimar Bagh
Shalimar Bagh is a historic Mughal-era terraced garden in Srinagar, renowned for its ornate layout, flowing water channels, and views over Dal Lake.
-
C.
Mehtab Bagh
Mehtab Bagh is a historic Mughal-era garden complex in Agra, India, renowned for its symmetrical layout and unobstructed riverside views of the Taj Mahal.
-
D.
Shahdara Bagh
Shahdara Bagh is a historic suburb of Lahore, Pakistan, renowned for its Mughal-era gardens and monumental tombs, including several imperial mausoleums.
-
E.
Roshanara Bagh
Roshanara Bagh is a historic Mughal-era garden in Delhi, India, known for its landscaped grounds and the tomb of Princess Roshanara Begum.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24559af48819092e4b466778b07e2 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed71f488190bcdc2dcc74e5c5d3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.