Triple

T18562867
Position Surface form Disambiguated ID Type / Status
Subject Port of Longkou E453687 entity
Predicate UNLOCODE P1800 FINISHED
Object CNLYK
CNLYK is the UN/LOCODE identifying the Port of Longkou, a commercial seaport in China used for international trade and shipping logistics.
E1330985 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: CNLYK | Statement: [Port of Longkou, UNLOCODE, CNLYK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNLYK
Context triple: [Port of Longkou, UNLOCODE, CNLYK]
  • A. YCNK
    YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
  • B. YCL-LJC
    YCL-LJC is the abbreviated name of the Young Communist League of Canada, a youth organization aligned with communist and socialist principles in Canada.
  • C. LYC
    LYC is the ICAO airline designator assigned to Lynden Air Cargo, a U.S.-based cargo airline.
  • D. LYC
    LYC is the National Rail station code for Lympstone Commando railway station in Devon, England.
  • E. CLY
    CLY is the IATA airport code for Calvi – Sainte-Catherine Airport, a regional airport serving the town of Calvi on the island of Corsica, France.
  • 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: CNLYK
Triple: [Port of Longkou, UNLOCODE, CNLYK]
Generated description
CNLYK is the UN/LOCODE identifying the Port of Longkou, a commercial seaport in China used for international trade and shipping logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CNLYK
Target entity description: CNLYK is the UN/LOCODE identifying the Port of Longkou, a commercial seaport in China used for international trade and shipping logistics.
  • A. YCNK
    YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
  • B. YCL-LJC
    YCL-LJC is the abbreviated name of the Young Communist League of Canada, a youth organization aligned with communist and socialist principles in Canada.
  • C. LYC
    LYC is the ICAO airline designator assigned to Lynden Air Cargo, a U.S.-based cargo airline.
  • D. LYC
    LYC is the National Rail station code for Lympstone Commando railway station in Devon, England.
  • E. CLY
    CLY is the IATA airport code for Calvi – Sainte-Catherine Airport, a regional airport serving the town of Calvi on the island of Corsica, France.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afb4f088190adf0b2b64057a210 completed April 19, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ae7faa48190954e42f20eeebbf0 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049c461c288190955ac8cdaefc055d completed May 13, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_6a049cbbc0288190be82f11e660b7dff completed May 13, 2026, 3:46 p.m.
Created at: April 10, 2026, 11:42 a.m.