Triple

T7078556
Position Surface form Disambiguated ID Type / Status
Subject Tyre Hippodrome E164884 entity
Predicate localName P657 FINISHED
Object مضمار صور الروماني
مضمار صور الروماني هو مضمار سباقات خيل روماني أثري في مدينة صور جنوب لبنان ويُعد من أبرز وأكبر المعالم الأثرية في المنطقة.
 E640943 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: مضمار صور الروماني | Statement: [Tyre Hippodrome, localName, مضمار صور الروماني]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: مضمار صور الروماني
Context triple: [Tyre Hippodrome, localName, مضمار صور الروماني]
  • A. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • B. Romana
    Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
  • 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. Rromani
    Rromani refers to the Roma people, an ethnic group of traditionally itinerant communities with origins in the Indian subcontinent and a widespread presence across Europe and beyond.
  • E. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • 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: مضمار صور الروماني
Triple: [Tyre Hippodrome, localName, مضمار صور الروماني]
Generated description
مضمار صور الروماني هو مضمار سباقات خيل روماني أثري في مدينة صور جنوب لبنان ويُعد من أبرز وأكبر المعالم الأثرية في المنطقة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: مضمار صور الروماني
Target entity description: مضمار صور الروماني هو مضمار سباقات خيل روماني أثري في مدينة صور جنوب لبنان ويُعد من أبرز وأكبر المعالم الأثرية في المنطقة.
  • A. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • B. Romana
    Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
  • 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. Rromani
    Rromani refers to the Roma people, an ethnic group of traditionally itinerant communities with origins in the Indian subcontinent and a widespread presence across Europe and beyond.
  • E. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ef47d48190b31125d1b57f7bec completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7946dbf048190a6307fefeb1dd6a9 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7955aefdc8190ab38d93097502ec1 completed March 28, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69c795beba2c8190983f871c42f9b72e completed March 28, 2026, 8:47 a.m.
Created at: March 27, 2026, 2:40 p.m.