Triple

T22268685
Position Surface form Disambiguated ID Type / Status
Subject Gap Inc. E550416 entity
Predicate hasLogoText P3623 FINISHED
Object GAP
GAP is a major American clothing and accessories retailer known for its casual style and global chain of stores.
 E1528334 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: GAP | Statement: [Gap Inc., hasLogoText, GAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAP
Context triple: [Gap Inc., hasLogoText, GAP]
  • A. GAP
    GAP is a Mexican airport operator that manages a network of major airports primarily along the Pacific coast and in western Mexico.
  • B. GAP
    GAP is the commonly used abbreviation for Turkey’s Southeastern Anatolia Region, a largely rural area known for major dam and irrigation projects on the Euphrates and Tigris rivers.
  • C. GAP
    GAP is a 150-mile rail-trail for hiking and biking that runs through Pennsylvania and Maryland, connecting Pittsburgh to Cumberland and linking with the C&O Canal Towpath to form a popular long-distance route to Washington, D.C.
  • D. GAP
    GAP is the ICAO airline designator assigned to PAL Express, a Philippine low-cost regional carrier affiliated with Philippine Airlines.
  • E. GAP
    GAP is the vehicle registration code used on license plates for the district of Garmisch-Partenkirchen in Bavaria, Germany.
  • 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: GAP
Triple: [Gap Inc., hasLogoText, GAP]
Generated description
GAP is a major American clothing and accessories retailer known for its casual style and global chain of stores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAP
Target entity description: GAP is a major American clothing and accessories retailer known for its casual style and global chain of stores.
  • A. GAP
    GAP is a Mexican airport operator that manages a network of major airports primarily along the Pacific coast and in western Mexico.
  • B. GAP
    GAP is the commonly used abbreviation for Turkey’s Southeastern Anatolia Region, a largely rural area known for major dam and irrigation projects on the Euphrates and Tigris rivers.
  • C. GAP
    GAP is a 150-mile rail-trail for hiking and biking that runs through Pennsylvania and Maryland, connecting Pittsburgh to Cumberland and linking with the C&O Canal Towpath to form a popular long-distance route to Washington, D.C.
  • D. GAP
    GAP is the ICAO airline designator assigned to PAL Express, a Philippine low-cost regional carrier affiliated with Philippine Airlines.
  • E. GAP
    GAP is the vehicle registration code used on license plates for the district of Garmisch-Partenkirchen in Bavaria, Germany.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bde9f88190b533bcb88787b492 completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0abc9ee4e081908115bce589353687 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd35be908190ba8a753fa04ba7a2 completed May 18, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0abe9a93608190bf3022f52ff8d2e9 completed May 18, 2026, 7:24 a.m.
Created at: April 16, 2026, 8:39 p.m.