Triple

T5461514
Position Surface form Disambiguated ID Type / Status
Subject Heer Ranjha E122603 entity
Predicate associatedLegend P1582 FINISHED
Object Saida Khera
Saida Khera is a village in Punjab, India, known in folklore as a setting linked to the legendary love story of Heer Ranjha.
 E520110 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: Saida Khera | Statement: [Heer Ranjha, associatedLegend, Saida Khera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saida Khera
Context triple: [Heer Ranjha, associatedLegend, Saida Khera]
  • A. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • B. Karimabad
    Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
  • C. Karimabad
    Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
  • D. Pothohari
    Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
  • E. Manuchehri
    Manuchehri was an 11th-century Persian court poet renowned for his vivid nature imagery, musical style, and panegyrics composed under the Ghaznavid dynasty.
  • 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: Saida Khera
Triple: [Heer Ranjha, associatedLegend, Saida Khera]
Generated description
Saida Khera is a village in Punjab, India, known in folklore as a setting linked to the legendary love story of Heer Ranjha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saida Khera
Target entity description: Saida Khera is a village in Punjab, India, known in folklore as a setting linked to the legendary love story of Heer Ranjha.
  • A. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • B. Karimabad
    Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
  • C. Karimabad
    Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
  • D. Pothohari
    Pothohari is a dialect of Punjabi spoken primarily in the Pothohar Plateau region of northern Pakistan.
  • E. Manuchehri
    Manuchehri was an 11th-century Persian court poet renowned for his vivid nature imagery, musical style, and panegyrics composed under the Ghaznavid dynasty.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42badcf08190b451b148d08e996e completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.