Triple

T28489682
Position Surface form Disambiguated ID Type / Status
Subject Zhuhai urban transport network E720926 entity
Predicate connectsKeyLocation P51738 FINISHED
Object Gongbei district
Gongbei district is a major commercial and border gateway area of Zhuhai, China, located adjacent to Macau and known for its busy port and shopping zones.
 E1936909 NE FINISHED

How this triple was built (3 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: Gongbei district | Statement: [Zhuhai urban transport network, connectsKeyLocation, Gongbei district]
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: Gongbei district
Triple: [Zhuhai urban transport network, connectsKeyLocation, Gongbei district]
Generated description
Gongbei district is a major commercial and border gateway area of Zhuhai, China, located adjacent to Macau and known for its busy port and shopping zones.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: connectsKeyLocation
Context triple: [Zhuhai urban transport network, connectsKeyLocation, Gongbei district]
  • A. connectsLocation chosen
    Indicates a relationship where one entity serves as a link or route that joins or provides access between two locations.
  • B. connectsKeyHub
    Indicates that one entity serves as a key hub that links or routes connections between multiple other entities.
  • C. connectionLocation
    Indicates the place or spatial context where a connection between entities occurs or is established.
  • D. connectsKeyDestinationsIn
    Indicates that something serves as a link or route joining important or primary destinations within a specified area or context.
  • E. connectsKeyDistrict
    Indicates that one entity establishes or maintains a significant linkage or route to a strategically important or central district.
  • F. None of above.

Provenance (6 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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7a8258881909e6005d375901c65 completed June 10, 2026, 2:10 a.m.
NEDg Description generation batch_6a28ca5ca8dc81909225215a8a02bf6f completed June 10, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a28cc6d10c48190b4d80bb129c95229 completed June 10, 2026, 2:31 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
Created at: April 28, 2026, 3 a.m.