Triple

T17732687
Position Surface form Disambiguated ID Type / Status
Subject Sed festival E442626 entity
Predicate hasAlternativeName P39 FINISHED
Object heb-sed
Heb-sed is an ancient Egyptian royal jubilee ceremony celebrating and ritually renewing a pharaoh’s power and divine kingship, traditionally held after several decades of rule.
 E1285059 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: heb-sed | Statement: [Sed festival, hasAlternativeName, heb-sed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: heb-sed
Context triple: [Sed festival, hasAlternativeName, heb-sed]
  • A. HEBA
    HEBA is the ICAO airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • B. HEJ
    HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
  • C. سيهات
    سيهات هي مدينة ساحلية تقع على الخليج العربي في المنطقة الشرقية من المملكة العربية السعودية وتشتهر بصيد الأسماك والنشاطات البحرية.
  • D. HEF
    HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
  • E. HEF
    HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
  • 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: heb-sed
Triple: [Sed festival, hasAlternativeName, heb-sed]
Generated description
Heb-sed is an ancient Egyptian royal jubilee ceremony celebrating and ritually renewing a pharaoh’s power and divine kingship, traditionally held after several decades of rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: heb-sed
Target entity description: Heb-sed is an ancient Egyptian royal jubilee ceremony celebrating and ritually renewing a pharaoh’s power and divine kingship, traditionally held after several decades of rule.
  • A. HEBA
    HEBA is the ICAO airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • B. HEJ
    HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
  • C. سيهات
    سيهات هي مدينة ساحلية تقع على الخليج العربي في المنطقة الشرقية من المملكة العربية السعودية وتشتهر بصيد الأسماك والنشاطات البحرية.
  • D. HEF
    HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
  • E. HEF
    HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e7773081909dadb90ff5cb0906 completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0242f577ac8190bc6c258ed79c0f3f completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a024432dae081908718b4d9fa156858 completed May 11, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0244ad73388190b5b99ccbbd357d77 completed May 11, 2026, 9:05 p.m.
Created at: April 10, 2026, 10:08 a.m.