Triple
T6933432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamshed Quarters |
E160492
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object | M.A. Jinnah Road |
E160496
|
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: M.A. Jinnah Road | Statement: [Jamshed Quarters, hasRoadConnection, M.A. Jinnah Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M.A. Jinnah Road Context triple: [Jamshed Quarters, hasRoadConnection, M.A. Jinnah Road]
-
A.
M.A. Jinnah Road
chosen
M.A. Jinnah Road is one of Karachi’s main historic and commercial thoroughfares, lined with markets, colonial-era buildings, and key civic landmarks.
-
B.
Jinnah Avenue
Jinnah Avenue is a major commercial and business thoroughfare in Islamabad, Pakistan, lined with offices, shopping centers, and prominent landmarks.
-
C.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
-
D.
Lodhi Road
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.
-
E.
I.I. Chundrigar Road
I.I. Chundrigar Road is Karachi’s principal financial and commercial artery, lined with major banks, corporate offices, and key institutions.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da415b1481908d70b92ecd5fd8e6 |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7514ead808190bff53b49b5f331fb |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:27 p.m.