Triple

T2097405
Position Surface form Disambiguated ID Type / Status
Subject 4 Times Square E37012 entity
Predicate hasTenant P3277 FINISHED
Object H&M
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
 E233546 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: H&M | Statement: [4 Times Square, hasTenant, H&M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: H&M
Context triple: [4 Times Square, hasTenant, H&M]
  • A. Zara
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • B. Uniqlo
    Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
  • C. Primark
    Primark is a major Irish-founded fast-fashion retail chain known for its low-priced clothing, accessories, and home goods, operating under the Penneys brand in Ireland and Primark elsewhere in Europe and the United States.
  • D. Marshalls
    Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
  • E. Nordstrom
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • 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: H&M
Triple: [4 Times Square, hasTenant, H&M]
Generated description
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: H&M
Target entity description: H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
  • A. Zara
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • B. Uniqlo
    Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
  • C. Primark
    Primark is a major Irish-founded fast-fashion retail chain known for its low-priced clothing, accessories, and home goods, operating under the Penneys brand in Ireland and Primark elsewhere in Europe and the United States.
  • D. Marshalls
    Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
  • E. Nordstrom
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3060b834819091dff510b89b3ec8 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f84d548190b2d99162471207a4 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae317473408190ad67374cfb82a7db completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.