Triple

T9243122
Position Surface form Disambiguated ID Type / Status
Subject Pavao E222113 entity
Predicate hasDiminutive P456 FINISHED
Object Pavica
Pavica is a feminine given name of South Slavic origin, commonly used as a diminutive form of the name Pavao.
E786842 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: Pavica | Statement: [Pavao, hasDiminutive, Pavica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavica
Context triple: [Pavao, hasDiminutive, Pavica]
  • A. Piva
    Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
  • B. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • C. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • D. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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: Pavica
Triple: [Pavao, hasDiminutive, Pavica]
Generated description
Pavica is a feminine given name of South Slavic origin, commonly used as a diminutive form of the name Pavao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pavica
Target entity description: Pavica is a feminine given name of South Slavic origin, commonly used as a diminutive form of the name Pavao.
  • A. Piva
    Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
  • B. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • C. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • D. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ec23ec8190993003a826372d40 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077e977c48190ba46a48850a3da0a completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07c3d6c1881908b267c2947b360d6 completed April 4, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d07ca8bad48190a0d36c6deb96610f completed April 4, 2026, 2:51 a.m.
Created at: March 30, 2026, 7:30 p.m.