Triple

T13121922
Position Surface form Disambiguated ID Type / Status
Subject Ferozepur district E311743 entity
Predicate hasCity P316 FINISHED
Object Zira
Zira is a town and municipal council in the Ferozepur district of the Indian state of Punjab.
E1022882 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: Zira | Statement: [Ferozepur district, hasCity, Zira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zira
Context triple: [Ferozepur district, hasCity, Zira]
  • A. Zira
    Zira is the vengeful lioness antagonist in Disney’s The Lion King II: Simba’s Pride, obsessed with avenging Scar and overthrowing Simba.
  • B. Zigra
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • C. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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: Zira
Triple: [Ferozepur district, hasCity, Zira]
Generated description
Zira is a town and municipal council in the Ferozepur district of the Indian state of Punjab.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zira
Target entity description: Zira is a town and municipal council in the Ferozepur district of the Indian state of Punjab.
  • A. Zira
    Zira is the vengeful lioness antagonist in Disney’s The Lion King II: Simba’s Pride, obsessed with avenging Scar and overthrowing Simba.
  • B. Zigra
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • C. Fazza
    Fazza is the popular pen name of Sheikh Hamdan bin Mohammed Al Maktoum, the Crown Prince of Dubai and a well-known Emirati poet and public figure.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819840b881909b76022b4c4dcaed completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e286de608190bf46af2eb656bb79 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e42cd5408190b687dfae73e2a720 completed May 3, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5293ee481908d9a90266ac5c3e6 completed May 3, 2026, 6:03 a.m.
Created at: April 9, 2026, 9:06 p.m.