Triple

T6848411
Position Surface form Disambiguated ID Type / Status
Subject Lut E157953 entity
Predicate nameInArabic P6450 FINISHED
Object لوط
لوط هو نبي من أنبياء الله في الديانات الإبراهيمية اشتهر بقصته مع قومه الذين عُذبوا بسبب ممارساتهم المنحرفة.
 E623528 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: لوط | Statement: [Lut, nameInArabic, لوط]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: لوط
Context triple: [Lut, nameInArabic, لوط]
  • A. Faras
    Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
  • B. Deshret
    Deshret is the ancient Egyptian Red Crown symbolizing the pharaonic authority and land of Lower Egypt.
  • C. Mansouriya
    Mansouriya is a residential district in Kuwait City known for its central location within the Al Asimah Governorate.
  • D. Alashiya
    Alashiya was an important Late Bronze Age polity, likely centered on Cyprus, known for its copper production and diplomatic correspondence with major Near Eastern powers.
  • E. Waset
    Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
  • 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: لوط
Triple: [Lut, nameInArabic, لوط]
Generated description
لوط هو نبي من أنبياء الله في الديانات الإبراهيمية اشتهر بقصته مع قومه الذين عُذبوا بسبب ممارساتهم المنحرفة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: لوط
Target entity description: لوط هو نبي من أنبياء الله في الديانات الإبراهيمية اشتهر بقصته مع قومه الذين عُذبوا بسبب ممارساتهم المنحرفة.
  • A. Faras
    Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
  • B. Deshret
    Deshret is the ancient Egyptian Red Crown symbolizing the pharaonic authority and land of Lower Egypt.
  • C. Mansouriya
    Mansouriya is a residential district in Kuwait City known for its central location within the Al Asimah Governorate.
  • D. Alashiya
    Alashiya was an important Late Bronze Age polity, likely centered on Cyprus, known for its copper production and diplomatic correspondence with major Near Eastern powers.
  • E. Waset
    Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ce3e7481908e0472b8faafa473 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc931d881908661483836cc059e completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7307df3dc8190b12174397631417b completed March 28, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c730dce35c8190b9cc9801d559995d completed March 28, 2026, 1:37 a.m.
Created at: March 27, 2026, 2:20 p.m.