Triple
T16235131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodhi Gardens |
E394084
|
entity |
| Predicate | hasNearbyRoad |
P11435
|
FINISHED |
| Object | Lodhi Road |
E394083
|
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 Road | Statement: [Lodhi Gardens, hasNearbyRoad, Lodhi Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodhi Road Context triple: [Lodhi Gardens, hasNearbyRoad, Lodhi Road]
-
A.
Lodhi Road
chosen
Lodhi Road is a major thoroughfare in New Delhi, India, known for its government offices, cultural institutions, and proximity to historic sites and green spaces.
-
B.
Sardar Patel Road
Sardar Patel Road is a major arterial thoroughfare in Chennai, India, connecting key neighborhoods and institutions, including the Adyar area.
-
C.
Shershah Road
Shershah Road is a primary thoroughfare serving as a key transportation route within SITE Town in Karachi, Pakistan.
-
D.
Jamshed Road
Jamshed Road is a major thoroughfare in Karachi, Pakistan, running through the Jamshed Town area and linking key commercial and residential neighborhoods.
-
E.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
- 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.