Triple

T9948095
Position Surface form Disambiguated ID Type / Status
Subject The Ant E195256 entity
Predicate hasArabicName P6450 FINISHED
Object An-Naml E37547 NE FINISHED

How this triple was built (2 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: An-Naml | Statement: [The Ant, hasArabicName, An-Naml]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An-Naml
Context triple: [The Ant, hasArabicName, An-Naml]
  • A. Surah An-Naml chosen
    Surah An-Naml is the 27th chapter of the Quran, known for its narratives about prophets such as Moses, Solomon, and Salih, and its emphasis on divine signs, wisdom, and the consequences of belief and disbelief.
  • B. Surah An-Nahl
    Surah An-Nahl is the 16th chapter of the Quran, a Meccan surah that emphasizes God’s blessings, the signs of creation, and the importance of gratitude and justice.
  • C. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • D. Ar-Ra'd
    Ar-Ra'd is the Arabic name of the 13th chapter (Surah) of the Qur'an, which focuses on God's power, the truth of revelation, and the consequences of belief and disbelief.
  • E. Surah Al-Fil
    Surah Al-Fil is a short Meccan chapter of the Quran that recounts God’s miraculous protection of the Kaaba from the army of the Elephant.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb659307c81908279adb641ceef86 completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2292b50a881909ff868487639fbfd completed April 5, 2026, 9:19 a.m.
Created at: March 30, 2026, 8:45 p.m.