Triple

T12828720
Position Surface form Disambiguated ID Type / Status
Subject Lyari Town E306728 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Kalakot
Kalakot is a residential neighborhood located within the Lyari area of Karachi, Pakistan, known for its dense urban setting and vibrant local community.
 E1005714 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: Kalakot | Statement: [Lyari Town, hasNeighbourhood, Kalakot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalakot
Context triple: [Lyari Town, hasNeighbourhood, Kalakot]
  • A. Kote
    Kote is a Georgian given name commonly used as a diminutive of Konstantine.
  • B. Pakol
    Pakol is a soft, round-topped woolen cap traditionally worn by various ethnic groups in the mountainous regions of Afghanistan and Pakistan.
  • C. Padukka
    Padukka is a suburban town in Sri Lanka’s Western Province, situated inland from central Colombo and known for its semi-rural character and growing residential communities.
  • D. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • E. Barikot
    Barikot is an ancient archaeological and historical town in Pakistan’s Swat Valley, known for its strategic location and remains from Indo-Greek and Buddhist periods.
  • 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: Kalakot
Triple: [Lyari Town, hasNeighbourhood, Kalakot]
Generated description
Kalakot is a residential neighborhood located within the Lyari area of Karachi, Pakistan, known for its dense urban setting and vibrant local community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalakot
Target entity description: Kalakot is a residential neighborhood located within the Lyari area of Karachi, Pakistan, known for its dense urban setting and vibrant local community.
  • A. Kote
    Kote is a Georgian given name commonly used as a diminutive of Konstantine.
  • B. Pakol
    Pakol is a soft, round-topped woolen cap traditionally worn by various ethnic groups in the mountainous regions of Afghanistan and Pakistan.
  • C. Padukka
    Padukka is a suburban town in Sri Lanka’s Western Province, situated inland from central Colombo and known for its semi-rural character and growing residential communities.
  • D. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • E. Barikot
    Barikot is an ancient archaeological and historical town in Pakistan’s Swat Valley, known for its strategic location and remains from Indo-Greek and Buddhist periods.
  • 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_69f68ed6cc9c8190aa66075505b42ec0 completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f69277d3d88190abce800c01a8026c completed May 3, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6938150608190a61206cefa3eca1e completed May 3, 2026, 12:14 a.m.
Created at: April 9, 2026, 5:34 p.m.