Triple

T27276445
Position Surface form Disambiguated ID Type / Status
Subject Antwerpen-Zuid station E688204 entity
Predicate hasNearby P350 FINISHED
Object Blue Gate Antwerp development area
Blue Gate Antwerp development area is a sustainable, water-linked business and innovation district in Antwerp focused on circular economy and eco-friendly industrial development.
 E1765049 NE 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: Blue Gate Antwerp development area | Statement: [Antwerpen-Zuid station, hasNearby, Blue Gate Antwerp development area]
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: Blue Gate Antwerp development area
Triple: [Antwerpen-Zuid station, hasNearby, Blue Gate Antwerp development area]
Generated description
Blue Gate Antwerp development area is a sustainable, water-linked business and innovation district in Antwerp focused on circular economy and eco-friendly industrial development.

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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62727f80c8190bbf5d9a8dc50ab79 completed May 2, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262914c608190a9780855e97e6083 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a1268eb06cc8190a9bcb4397775c34c completed May 24, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a126983a194819093db115c63acc22f completed May 24, 2026, 2:59 a.m.
Created at: April 27, 2026, 11:03 a.m.