Triple

T19717963
Position Surface form Disambiguated ID Type / Status
Subject Xylem Inc. E473528 entity
Predicate hasBrand P1500 FINISHED
Object WTW
WTW is a brand of water quality analysis and measurement instruments, known for laboratory and field equipment used in environmental and industrial applications.
 E1391217 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: WTW | Statement: [Xylem Inc., hasBrand, WTW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTW
Context triple: [Xylem Inc., hasBrand, WTW]
  • A. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • D. WLTW
    WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
  • E. WTK
    WTK is an alternative abbreviation commonly used to refer to the World Trade Center.
  • 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: WTW
Triple: [Xylem Inc., hasBrand, WTW]
Generated description
WTW is a brand of water quality analysis and measurement instruments, known for laboratory and field equipment used in environmental and industrial applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTW
Target entity description: WTW is a brand of water quality analysis and measurement instruments, known for laboratory and field equipment used in environmental and industrial applications.
  • A. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • B. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • C. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • D. WLTW
    WLTW is the stock ticker symbol for Willis Towers Watson, a global advisory, broking, and solutions company.
  • E. WTK
    WTK is an alternative abbreviation commonly used to refer to the World Trade Center.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440ec9e881909b75c0ebefab827f completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07aba36954819085e53a67388086ab completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07ae091db48190a68d7744860bcb0e completed May 15, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a07aed8393481908f2bc48a3efc599a completed May 15, 2026, 11:40 p.m.
Created at: April 10, 2026, 1:46 p.m.