Triple

T16198839
Position Surface form Disambiguated ID Type / Status
Subject Western Peripheral Expressway E393142 entity
Predicate abbreviation P43 FINISHED
Object WPE
WPE is a major expressway in the Indian state of Haryana that forms part of a ring road system around Delhi to divert heavy traffic away from the city.
 E1198614 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: WPE | Statement: [Western Peripheral Expressway, abbreviation, WPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WPE
Context triple: [Western Peripheral Expressway, abbreviation, WPE]
  • A. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • B. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • C. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • D. W8
    W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
  • E. W6
    W6 is the IATA airline designator used to identify the low-cost carrier Wizz Air on tickets, timetables, and flight information systems.
  • 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: WPE
Triple: [Western Peripheral Expressway, abbreviation, WPE]
Generated description
WPE is a major expressway in the Indian state of Haryana that forms part of a ring road system around Delhi to divert heavy traffic away from the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WPE
Target entity description: WPE is a major expressway in the Indian state of Haryana that forms part of a ring road system around Delhi to divert heavy traffic away from the city.
  • A. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • B. WPN
    WPN is the vehicle registration code assigned to the town of Płońsk in Poland.
  • C. WPN
    WPN is the station code used to identify White Plains station in transportation and scheduling systems.
  • D. W8
    W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
  • E. W6
    W6 is the IATA airline designator used to identify the low-cost carrier Wizz Air on tickets, timetables, and flight information systems.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222de2db481908471b9c73d444607 completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00014d982881908dcb9a0abd75a1e2 completed May 10, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_6a00021e42ec8190af9869b7f8be3ce5 completed May 10, 2026, 3:57 a.m.
Created at: April 10, 2026, 5:03 a.m.