Triple

T7084112
Position Surface form Disambiguated ID Type / Status
Subject Port of Guangzhou E165029 entity
Predicate hasUNLocode P1492 FINISHED
Object CNGGZ
CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
 E640997 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: CNGGZ | Statement: [Port of Guangzhou, hasUNLocode, CNGGZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNGGZ
Context triple: [Port of Guangzhou, hasUNLocode, CNGGZ]
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • C. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • D. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • E. ZGHA
    ZGHA is the ICAO airport code for Changsha Huanghua International Airport, a major air transport hub serving Changsha and the Hunan province in China.
  • 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: CNGGZ
Triple: [Port of Guangzhou, hasUNLocode, CNGGZ]
Generated description
CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNGGZ
Target entity description: CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • C. GZQ
    GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
  • D. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • E. ZGHA
    ZGHA is the ICAO airport code for Changsha Huanghua International Airport, a major air transport hub serving Changsha and the Hunan province in China.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5102be08190bbde790bfa8fe9e2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7948094ec8190856870dfd59fc13a completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c796acdddc8190a2d20b4d40751359 completed March 28, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_69c797b416a881908c58376498f20c58 completed March 28, 2026, 8:56 a.m.
Created at: March 27, 2026, 2:40 p.m.