Triple

T4619738
Position Surface form Disambiguated ID Type / Status
Subject RRS Charles Darwin E100947 entity
Predicate callSign P1565 FINISHED
Object GFKZ
GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
 E459165 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: GFKZ | Statement: [RRS Charles Darwin, callSign, GFKZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GFKZ
Context triple: [RRS Charles Darwin, callSign, GFKZ]
  • A. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • B. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • C. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • D. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • E. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • 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: GFKZ
Triple: [RRS Charles Darwin, callSign, GFKZ]
Generated description
GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GFKZ
Target entity description: GFKZ is the radio call sign assigned to the British Royal Research Ship (RRS) Charles Darwin, an oceanographic research vessel.
  • A. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • B. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • C. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • D. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • E. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59e3e6948190925e2cfad20dcc8c completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa95bd6c8190ad33e52b338560a6 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb5502c48190b7679941b83e6e0c completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdff53680c8190a62aace0f0c9f3b3 completed March 21, 2026, 2:15 a.m.
Created at: March 20, 2026, 1:12 p.m.