Triple

T5888381
Position Surface form Disambiguated ID Type / Status
Subject Gwalior Fort E130925 entity
Predicate hasPart P35 FINISHED
Object Jauhar Kund
Jauhar Kund is a historic site within Gwalior Fort associated with the ritual mass self-immolation (jauhar) of women during times of siege.
 E552257 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: Jauhar Kund | Statement: [Gwalior Fort, hasPart, Jauhar Kund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jauhar Kund
Context triple: [Gwalior Fort, hasPart, Jauhar Kund]
  • A. Khajauli
    Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
  • B. Bhit Shah
    Bhit Shah is a town in Sindh, Pakistan, renowned as a spiritual and cultural center built around the shrine of the revered Sufi poet Shah Abdul Latif Bhittai.
  • C. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • D. 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.
  • E. Khaplu
    Khaplu is a historic town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and for its traditional Balti culture and architecture.
  • 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: Jauhar Kund
Triple: [Gwalior Fort, hasPart, Jauhar Kund]
Generated description
Jauhar Kund is a historic site within Gwalior Fort associated with the ritual mass self-immolation (jauhar) of women during times of siege.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jauhar Kund
Target entity description: Jauhar Kund is a historic site within Gwalior Fort associated with the ritual mass self-immolation (jauhar) of women during times of siege.
  • A. Khajauli
    Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
  • B. Bhit Shah
    Bhit Shah is a town in Sindh, Pakistan, renowned as a spiritual and cultural center built around the shrine of the revered Sufi poet Shah Abdul Latif Bhittai.
  • C. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • D. 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.
  • E. Khaplu
    Khaplu is a historic town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and for its traditional Balti culture and architecture.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036af6330819081d9fa98a8c26633 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b146ad348190baeeecb65f2bf811 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2178dc48190948397b948dd1970 completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b29d6048819086c4d4cd01c64a51 completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.