Triple

T28316725
Position Surface form Disambiguated ID Type / Status
Subject Robinsons Galleria E717155 entity
Predicate hasAttachedStructure P22388 FINISHED
Object Galleria Corporate Center
Galleria Corporate Center is a commercial office complex integrated with the Robinsons Galleria mixed-use development in Metro Manila, Philippines.
 E1812614 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: Galleria Corporate Center | Statement: [Robinsons Galleria, hasAttachedStructure, Galleria Corporate Center]
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: Galleria Corporate Center
Triple: [Robinsons Galleria, hasAttachedStructure, Galleria Corporate Center]
Generated description
Galleria Corporate Center is a commercial office complex integrated with the Robinsons Galleria mixed-use development in Metro Manila, Philippines.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAttachedStructure
Context triple: [Robinsons Galleria, hasAttachedStructure, Galleria Corporate Center]
  • A. haveStructure
    Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
  • B. hasRealStructure
    Indicates that an abstract object or system is endowed with a concrete, well-defined mathematical or physical structure that makes it realizable or interpretable in a real-world or formal model.
  • C. hasStructureOnOrAdjacent chosen
    Indicates that one entity has a physical structure located on it or immediately next to it.
  • D. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • E. hasStructureType
    Indicates that an entity possesses or is classified by a specific structural type or configuration.
  • 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_69eff6e6c3b08190ad78de6ba7f04548 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16073efc6c819086432c7ac5d9d590 completed May 26, 2026, 8:49 p.m.
NEDg Description generation batch_6a161404f5908190993589611f152cd1 completed May 26, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1616734eac8190947663ebe6c3d478 completed May 26, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 12:21 a.m.