Triple

T2097406
Position Surface form Disambiguated ID Type / Status
Subject 4 Times Square E37012 entity
Predicate hasSignageFor P20223 FINISHED
Object H&M E233546 NE FINISHED

How this triple was built (3 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, hasSignageFor, H&M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H&M
Context triple: [4 Times Square, hasSignageFor, H&M]
  • A. H&M chosen
    H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
  • B. Zara
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • C. Uniqlo
    Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
  • D. 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.
  • E. Marshalls
    Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignageFor
Context triple: [4 Times Square, hasSignageFor, H&M]
  • A. hasSignage
    Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
  • B. hasSignageType
    Indicates the specific category or kind of signage associated with an object, location, or entity.
  • C. hasSignageName chosen
    Indicates that an entity has a specific name or label as it appears on its physical signage.
  • D. signageStandard
    Indicates that something conforms to, follows, or specifies a particular standard or convention for signage.
  • E. hasHazardSignage
    Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
  • F. None of above.

Provenance (4 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_69ae518d29d4819090aa2a1c6fc7304d completed March 9, 2026, 4:50 a.m.
PD Predicate disambiguation batch_69abb7b6274081909df36cd7a7c6a675 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.