Triple
T12828726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyari Town |
E306728
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Shah Baig Lane
Shah Baig Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
|
E1006708
|
NE FINISHED |
How this triple was built (4 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: Shah Baig Lane | Statement: [Lyari Town, hasNeighbourhood, Shah Baig Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shah Baig Lane Context triple: [Lyari Town, hasNeighbourhood, Shah Baig Lane]
-
A.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
-
B.
Zaib-un-Nisa Street
Zaib-un-Nisa Street is a prominent commercial and shopping street located in the Saddar area of Karachi, Pakistan.
-
C.
Javad Khan Street
Javad Khan Street is a central thoroughfare and popular pedestrian area in Ganja, Azerbaijan, known for its shops, cafes, and historical atmosphere.
-
D.
Jinnah Avenue
Jinnah Avenue is a major commercial and business thoroughfare in Islamabad, Pakistan, lined with offices, shopping centers, and prominent landmarks.
-
E.
Sir Shah Suleman Road
Sir Shah Suleman Road is a major thoroughfare in Karachi, Pakistan, serving as an important connector through areas including Liaquatabad Town.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shah Baig Lane Triple: [Lyari Town, hasNeighbourhood, Shah Baig Lane]
Generated description
Shah Baig Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shah Baig Lane Target entity description: Shah Baig Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
-
A.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
-
B.
Zaib-un-Nisa Street
Zaib-un-Nisa Street is a prominent commercial and shopping street located in the Saddar area of Karachi, Pakistan.
-
C.
Javad Khan Street
Javad Khan Street is a central thoroughfare and popular pedestrian area in Ganja, Azerbaijan, known for its shops, cafes, and historical atmosphere.
-
D.
Jinnah Avenue
Jinnah Avenue is a major commercial and business thoroughfare in Islamabad, Pakistan, lined with offices, shopping centers, and prominent landmarks.
-
E.
Sir Shah Suleman Road
Sir Shah Suleman Road is a major thoroughfare in Karachi, Pakistan, serving as an important connector through areas including Liaquatabad Town.
- F. None of above. chosen
Provenance (5 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96faf9ae481908265e198f917d1e6 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b99d9bc8190b67f73985c8f6768 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:34 p.m.