Triple

T16449066
Position Surface form Disambiguated ID Type / Status
Subject LendingTree E399504 entity
Predicate tickerSymbol P1447 FINISHED
Object TREE
TREE is the stock ticker symbol for LendingTree, an online marketplace that connects consumers with multiple lenders for loans and other financial products.
 E1213237 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: TREE | Statement: [LendingTree, tickerSymbol, TREE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TREE
Context triple: [LendingTree, tickerSymbol, TREE]
  • A. Tree
    Tree is a common surname that has been borne by various individuals, including those in English-speaking countries.
  • B. Bo tree
    The Bo tree is the sacred fig tree under which Siddhartha Gautama is believed to have attained enlightenment, making it a central symbol in Buddhism.
  • C. Trees
    Trees is a well-known live music venue in Dallas, Texas, recognized for hosting a wide range of rock, metal, and alternative acts in an intimate club setting.
  • D. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • E. SeeTree
    SeeTree is an agricultural technology company that uses advanced data analytics and artificial intelligence to monitor and optimize the health and productivity of trees and orchards.
  • 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: TREE
Triple: [LendingTree, tickerSymbol, TREE]
Generated description
TREE is the stock ticker symbol for LendingTree, an online marketplace that connects consumers with multiple lenders for loans and other financial products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TREE
Target entity description: TREE is the stock ticker symbol for LendingTree, an online marketplace that connects consumers with multiple lenders for loans and other financial products.
  • A. Tree
    Tree is a common surname that has been borne by various individuals, including those in English-speaking countries.
  • B. Bo tree
    The Bo tree is the sacred fig tree under which Siddhartha Gautama is believed to have attained enlightenment, making it a central symbol in Buddhism.
  • C. Trees
    Trees is a well-known live music venue in Dallas, Texas, recognized for hosting a wide range of rock, metal, and alternative acts in an intimate club setting.
  • D. Treene
    The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
  • E. SeeTree
    SeeTree is an agricultural technology company that uses advanced data analytics and artificial intelligence to monitor and optimize the health and productivity of trees and orchards.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a0046833e208190a0e1e37fc24c09e0 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00471604f88190b7cc58a77b861585 completed May 10, 2026, 8:51 a.m.
Created at: April 10, 2026, 5:10 a.m.