Triple

T17819075
Position Surface form Disambiguated ID Type / Status
Subject Lukusashi River E444925 entity
Predicate hasCountryCode P189 FINISHED
Object ZM
ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
E1289567 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: ZM | Statement: [Lukusashi River, hasCountryCode, ZM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZM
Context triple: [Lukusashi River, hasCountryCode, ZM]
  • A. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • C. ZMH
    ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
  • D. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • E. ZMCK
    ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
  • 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: ZM
Triple: [Lukusashi River, hasCountryCode, ZM]
Generated description
ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZM
Target entity description: ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
  • A. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • C. ZMH
    ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
  • D. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • E. ZMCK
    ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6630a08190b907c773c77149bb completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03004cb0048190bf6891754474e317 completed May 12, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0300bda62081908e6da214147079c2 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.