Triple

T10154028
Position Surface form Disambiguated ID Type / Status
Subject River Wenning E232722 entity
Predicate hasTributary P415 FINISHED
Object Greeta
Greeta is a small tributary stream in northern England that feeds into the River Wenning.
 E843583 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: Greeta | Statement: [River Wenning, hasTributary, Greeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greeta
Context triple: [River Wenning, hasTributary, Greeta]
  • 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. 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.
  • C. Malalai
    Malalai is an Afghan activist and former politician internationally recognized for her outspoken criticism of warlords, the Taliban, and foreign occupation in Afghanistan.
  • D. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • E. Velathri
    Velathri is the ancient Etruscan city that later became known as Volterra, located in present-day Tuscany, Italy.
  • 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: Greeta
Triple: [River Wenning, hasTributary, Greeta]
Generated description
Greeta is a small tributary stream in northern England that feeds into the River Wenning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greeta
Target entity description: Greeta is a small tributary stream in northern England that feeds into the River Wenning.
  • 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. 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.
  • C. Malalai
    Malalai is an Afghan activist and former politician internationally recognized for her outspoken criticism of warlords, the Taliban, and foreign occupation in Afghanistan.
  • D. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • E. Velathri
    Velathri is the ancient Etruscan city that later became known as Volterra, located in present-day Tuscany, Italy.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6541e488190814e6395f219eb12 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e7408e58819083c43e334a87a09f completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7b854d08190ac2af642970b7f09 completed April 5, 2026, 10:52 p.m.
Created at: March 30, 2026, 9:08 p.m.