Triple

T14719693
Position Surface form Disambiguated ID Type / Status
Subject Lam Yakun E345778 entity
Predicate alsoKnownAs P39 FINISHED
Object Surat Lam Yakun
Surat Lam Yakun is a short Meccan chapter of the Qur’an (Surah Al-Bayyinah) that emphasizes the coming of clear proof from God and the distinction between believers and disbelievers.
E1116395 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: Surat Lam Yakun | Statement: [Lam Yakun, alsoKnownAs, Surat Lam Yakun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surat Lam Yakun
Context triple: [Lam Yakun, alsoKnownAs, Surat Lam Yakun]
  • A. Rissala
    Rissala is a locality in Finland known primarily for hosting a major Finnish Air Force base associated with the Karelian Air Command.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Khabur
    Khabur is a major river in northeastern Syria and southeastern Turkey that historically served as an important tributary of the Euphrates and a key waterway in ancient Mesopotamia.
  • D. Takhuit
    Takhuit was an ancient Egyptian queen of the 26th Dynasty, best known as the mother of Pharaoh Apries.
  • E. Yazgulyam
    Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
  • 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: Surat Lam Yakun
Triple: [Lam Yakun, alsoKnownAs, Surat Lam Yakun]
Generated description
Surat Lam Yakun is a short Meccan chapter of the Qur’an (Surah Al-Bayyinah) that emphasizes the coming of clear proof from God and the distinction between believers and disbelievers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Surat Lam Yakun
Target entity description: Surat Lam Yakun is a short Meccan chapter of the Qur’an (Surah Al-Bayyinah) that emphasizes the coming of clear proof from God and the distinction between believers and disbelievers.
  • A. Rissala
    Rissala is a locality in Finland known primarily for hosting a major Finnish Air Force base associated with the Karelian Air Command.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Khabur
    Khabur is a major river in northeastern Syria and southeastern Turkey that historically served as an important tributary of the Euphrates and a key waterway in ancient Mesopotamia.
  • D. Takhuit
    Takhuit was an ancient Egyptian queen of the 26th Dynasty, best known as the mother of Pharaoh Apries.
  • E. Yazgulyam
    Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98823408190b4b58a4c4a3fa3a3 completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0935f088190b54f2e106532972a completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2a63cc88190b3670378c54c96b6 completed May 8, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdf31fcb4081908a88cf4d4c5ddced completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:29 a.m.