Triple

T24715648
Position Surface form Disambiguated ID Type / Status
Subject Clarehall E612150 entity
Predicate hasNearbyRetail P5648 FINISHED
Object Northern Cross retail area
The Northern Cross retail area is a commercial district in Dublin featuring a range of shops, services, and amenities serving the surrounding residential communities.
 E1646526 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: Northern Cross retail area | Statement: [Clarehall, hasNearbyRetail, Northern Cross retail 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: Northern Cross retail area
Triple: [Clarehall, hasNearbyRetail, Northern Cross retail area]
Generated description
The Northern Cross retail area is a commercial district in Dublin featuring a range of shops, services, and amenities serving the surrounding residential communities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyRetail
Context triple: [Clarehall, hasNearbyRetail, Northern Cross retail area]
  • A. hasConvenienceStore
    Indicates that one entity possesses, contains, or is associated with a convenience store.
  • B. hasRetailPresenceIn
    Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
  • C. hasNearbyFacility chosen
    Indicates that one entity is located close to or in the vicinity of a particular facility.
  • D. hasMajorCompanyNearby
    Indicates that a location or entity is situated close to at least one large or significant company.
  • E. hasRetailArea
    Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
  • 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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a101013220881908d035b4c37749f51 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136d2c448190918a7eeb751a2a84 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10143c5c84819081dd4f953fa9841a completed May 22, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f49366e8d08190adb4b71fe3a14683 completed May 1, 2026, 11:49 a.m.
Created at: April 18, 2026, 3:36 a.m.