Triple

T1367512
Position Surface form Disambiguated ID Type / Status
Subject Surah Hud E30036 entity
Predicate mentionsProphet P831 FINISHED
Object Lut
Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
 E157953 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: Lut | Statement: [Surah Hud, mentionsProphet, Lut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lut
Context triple: [Surah Hud, mentionsProphet, Lut]
  • A. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • B. Lutjegast
    Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
  • C. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • 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: Lut
Triple: [Surah Hud, mentionsProphet, Lut]
Generated description
Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lut
Target entity description: Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
  • A. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • B. Lutjegast
    Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
  • C. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47f25c48190a27f87909c15d7c3 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd61419608190865b656284adab13 completed March 8, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69acd68afe10819081bb5991fb007da9 completed March 8, 2026, 1:53 a.m.
Created at: March 1, 2026, 7:57 p.m.