Triple

T3183933
Position Surface form Disambiguated ID Type / Status
Subject Margarita E66654 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Marga
Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
 E333681 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: Marga | Statement: [Margarita, hasDiminutiveForm, Marga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marga
Context triple: [Margarita, hasDiminutiveForm, Marga]
  • A. El Marg
    El Marg is a northeastern district of Cairo known for its dense residential neighborhoods and role as a gateway between the city and its surrounding suburbs.
  • B. Silvana
    Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • C. Bradina
    Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
  • D. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • E. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • 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: Marga
Triple: [Margarita, hasDiminutiveForm, Marga]
Generated description
Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marga
Target entity description: Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
  • A. El Marg
    El Marg is a northeastern district of Cairo known for its dense residential neighborhoods and role as a gateway between the city and its surrounding suburbs.
  • B. Silvana
    Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • C. Bradina
    Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
  • D. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • E. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bfc4248190af320471688c60f0 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2360079e4819085ee8b6553e3da02 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b2372b4e888190b75235355b05a0ee completed March 12, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69b237927cf08190a21396a523f70dc9 completed March 12, 2026, 3:48 a.m.
Created at: March 8, 2026, 3:06 p.m.