Triple

T12771143
Position Surface form Disambiguated ID Type / Status
Subject Nanakshahi calendar E305248 entity
Predicate hasMonth P6433 FINISHED
Object Harh
Harh is a summer month in the Nanakshahi calendar used in Sikhism, roughly corresponding to June–July in the Gregorian calendar.
 E1003360 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: Harh | Statement: [Nanakshahi calendar, hasMonth, Harh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harh
Context triple: [Nanakshahi calendar, hasMonth, Harh]
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Hauran
    Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • C. Haravgi
    Haravgi is a Cypriot newspaper that serves as the main press organ of the left-wing Progressive Party of Working People (AKEL).
  • D. Harste
    Harste is a village and municipal district of Bovenden in Lower Saxony, Germany.
  • E. Hartha
    Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
  • 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: Harh
Triple: [Nanakshahi calendar, hasMonth, Harh]
Generated description
Harh is a summer month in the Nanakshahi calendar used in Sikhism, roughly corresponding to June–July in the Gregorian calendar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harh
Target entity description: Harh is a summer month in the Nanakshahi calendar used in Sikhism, roughly corresponding to June–July in the Gregorian calendar.
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Hauran
    Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • C. Haravgi
    Haravgi is a Cypriot newspaper that serves as the main press organ of the left-wing Progressive Party of Working People (AKEL).
  • D. Harste
    Harste is a village and municipal district of Bovenden in Lower Saxony, Germany.
  • E. Hartha
    Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dc63f48190bb68f9859e99e3b4 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f68a92226881909600555332c2c370 completed May 2, 2026, 11:36 p.m.
Created at: April 9, 2026, 5:28 p.m.