Triple

T18344647
Position Surface form Disambiguated ID Type / Status
Subject Dubai World Trade Centre E439503 entity
Predicate alsoKnownAs P39 FINISHED
Object DWTC
DWTC is the Dubai World Trade Centre, a major business complex and events venue in Dubai known for hosting international exhibitions, conferences, and trade shows.
 E1320389 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: DWTC | Statement: [Dubai World Trade Centre, alsoKnownAs, DWTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DWTC
Context triple: [Dubai World Trade Centre, alsoKnownAs, DWTC]
  • 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. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • C. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • D. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • E. WPTZ
    WPTZ is an NBC-affiliated television station serving the Burlington, Vermont–Plattsburgh, New York market.
  • 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: DWTC
Triple: [Dubai World Trade Centre, alsoKnownAs, DWTC]
Generated description
DWTC is the Dubai World Trade Centre, a major business complex and events venue in Dubai known for hosting international exhibitions, conferences, and trade shows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DWTC
Target entity description: DWTC is the Dubai World Trade Centre, a major business complex and events venue in Dubai known for hosting international exhibitions, conferences, and trade shows.
  • 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. WTM
    WTM is the vehicle registration code used on license plates for vehicles registered in the Wittmund district of Lower Saxony, Germany.
  • C. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • D. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • E. WPTZ
    WPTZ is an NBC-affiliated television station serving the Burlington, Vermont–Plattsburgh, New York market.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f2c8ec8190b045482846a68204 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc245d008190838015a5129f232f completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03d05679f4819096ecee9c2a19ad26 completed May 13, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a03d0cd1a688190ba67d1601e4fea79 completed May 13, 2026, 1:15 a.m.
Created at: April 10, 2026, 10:37 a.m.