Triple

T6553890
Position Surface form Disambiguated ID Type / Status
Subject Lianyungang E152396 entity
Predicate isTradeHub P70140 FINISHED
Object true LITERAL FINISHED

How this triple was built (2 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: true | Statement: [Lianyungang, isTradeHub, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTradeHub
Context triple: [Lianyungang, isTradeHub, true]
  • A. isCommercialHubIn
    Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
  • B. isITHubOf
    Indicates that an entity serves as a central location or primary center for IT-related activities, services, or operations for another entity or area.
  • C. hasTrade
    Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
  • D. isInterchange
    Indicates that two entities can be substituted or exchanged for one another without affecting the relevant system, function, or outcome.
  • E. isTransportHubType chosen
    Indicates that something serves as or belongs to a particular category of transport hub (such as a station, port, or terminal).
  • F. None of above.

Provenance (3 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6c1b15d3481908ae66e3d7564b352 completed March 27, 2026, 5:43 p.m.
PD Predicate disambiguation batch_69c6acf6d4148190914b19e9affd8c76 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:51 p.m.