Triple

T2489124
Position Surface form Disambiguated ID Type / Status
Subject Horahane Roma E51997 entity
Predicate alternativeName P39 FINISHED
Object Horahane Rom E51997 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: Horahane Rom | Statement: [Horahane Roma, alternativeName, Horahane Rom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horahane Rom
Context triple: [Horahane Roma, alternativeName, Horahane Rom]
  • A. Horahane Roma chosen
    Horahane Roma are a subgroup of Roma people traditionally associated with Islam and found primarily in regions influenced by the former Ottoman Empire.
  • B. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • C. Romana
    Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
  • D. Ar-Rum
    Ar-Rum is the 30th chapter of the Qur’an, known for its prophecies about the Byzantine Empire and its reflections on faith, history, and the signs of God in the natural world.
  • E. Römer
    The Römer is Frankfurt am Main’s historic city hall complex, renowned for its distinctive stepped gabled façade and long-standing role as a center of municipal government.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd17b7a048190bcc8f0a66514a052 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8ee974819082a2a29f8b72d131 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.