Triple

T35618985
Position Surface form Disambiguated ID Type / Status
Subject Al Maryah Island E1029255 entity
Predicate hasLandmark P105 FINISHED
Object The Galleria Promenade
The Galleria Promenade is a luxury waterfront shopping and dining destination on Al Maryah Island in Abu Dhabi, known for its upscale retail brands and scenic promenade setting.
E2147116 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: The Galleria Promenade | Statement: [Al Maryah Island, hasLandmark, The Galleria Promenade]
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: The Galleria Promenade
Triple: [Al Maryah Island, hasLandmark, The Galleria Promenade]
Generated description
The Galleria Promenade is a luxury waterfront shopping and dining destination on Al Maryah Island in Abu Dhabi, known for its upscale retail brands and scenic promenade setting.

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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79eee67e88190b314fdf1124fee29 completed May 3, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bf316508190ac46123d38ac9ac9 completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385c8966a08190a3e50867b439b9a1 completed June 21, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a385d704a348190ba1e2de0a90f11f7 completed June 21, 2026, 9:53 p.m.
Created at: May 3, 2026, 4:05 p.m.