Triple

T10334203
Position Surface form Disambiguated ID Type / Status
Subject Lucinda E242956 entity
Predicate hasDiminutive P456 FINISHED
Object Cinda
Cinda is a feminine given name, typically used as a shortened or diminutive form of names like Lucinda.
 E859223 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: Cinda | Statement: [Lucinda, hasDiminutive, Cinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cinda
Context triple: [Lucinda, hasDiminutive, Cinda]
  • A. Shara
    Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
  • B. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • C. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • D. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • E. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • 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: Cinda
Triple: [Lucinda, hasDiminutive, Cinda]
Generated description
Cinda is a feminine given name, typically used as a shortened or diminutive form of names like Lucinda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cinda
Target entity description: Cinda is a feminine given name, typically used as a shortened or diminutive form of names like Lucinda.
  • A. Shara
    Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
  • B. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • C. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • D. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • E. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc366b481909c49f199892e9d42 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794fe4fe481908e4c343ceeb5de25 completed April 9, 2026, 12:01 p.m.
NEDg Description generation batch_69d7975191ac8190b32eb6cc1f5c88aa completed April 9, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d798655c7c8190a5da5ef976102285 completed April 9, 2026, 12:15 p.m.
Created at: April 6, 2026, 11:53 a.m.