Triple

T14550089
Position Surface form Disambiguated ID Type / Status
Subject Al-Alaq E341392 entity
Predicate englishName P3437 FINISHED
Object The Clot E341394 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: The Clot | Statement: [Al-Alaq, englishName, The Clot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Clot
Context triple: [Al-Alaq, englishName, The Clot]
  • A. The Clot chosen
    The Clot is the English title of Surah Al-Alaq, the 96th chapter of the Qur’an, known for containing the first verses revealed to the Prophet Muhammad.
  • B. Clot
    Clot is a Barcelona Metro station serving the Clot neighborhood and providing connections between multiple metro and rail lines.
  • C. El Clot
    El Clot is a traditional Barcelona neighborhood in the Sant Martí district, known for its local markets, historic streets, and mix of residential and commercial areas.
  • D. Can Clota
    Can Clota is a historic heritage site in Esplugues de Llobregat, Catalonia, notable for its traditional architecture and cultural significance in the region.
  • E. Sanguem
    Sanguem is a town and administrative taluka in the Indian state of Goa, known for its rural landscape, waterfalls, and proximity to wildlife sanctuaries.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.