Triple

T12828728
Position Surface form Disambiguated ID Type / Status
Subject Lyari Town E306728 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Moosa Lane
Moosa Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
 E1310426 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: Moosa Lane | Statement: [Lyari Town, hasNeighbourhood, Moosa Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moosa Lane
Context triple: [Lyari Town, hasNeighbourhood, Moosa Lane]
  • A. Moss Lane
    Moss Lane is a football stadium in Altrincham, Greater Manchester, serving as the long-standing home venue of Altrincham F.C.
  • B. Moor Lane
    Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
  • C. Wheatley Lane
    Wheatley Lane is a small village in the borough of Pendle, Lancashire, England, forming part of the wider rural communities in the area.
  • D. Portwall Lane
    Portwall Lane is a historic street in the Redcliffe area of Bristol, England, named after the old city wall that once ran alongside it.
  • E. Queen’s Lane
    Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
  • 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: Moosa Lane
Triple: [Lyari Town, hasNeighbourhood, Moosa Lane]
Generated description
Moosa 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: Moosa Lane
Target entity description: Moosa Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
  • A. Moss Lane
    Moss Lane is a football stadium in Altrincham, Greater Manchester, serving as the long-standing home venue of Altrincham F.C.
  • B. Moor Lane
    Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
  • C. Wheatley Lane
    Wheatley Lane is a small village in the borough of Pendle, Lancashire, England, forming part of the wider rural communities in the area.
  • D. Portwall Lane
    Portwall Lane is a historic street in the Redcliffe area of Bristol, England, named after the old city wall that once ran alongside it.
  • E. Queen’s Lane
    Queen’s Lane is a historic street in central Oxford, England, known for running between several university colleges and preserving much of the city’s medieval character.
  • 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_6a0397e71ec481909dabe3c945affb37 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0399364d988190a457415c9c64a68d completed May 12, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0399e221308190988e728b9efb0141 completed May 12, 2026, 9:21 p.m.
Created at: April 9, 2026, 5:34 p.m.