Triple
T32521359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloc B |
E831188
|
entity |
| Predicate | situatedWithinComplex |
P112021
|
FINISHED |
| Object |
Résidence Palace, Brussels
Résidence Palace in Brussels is a historic Art Deco building complex that now houses key European Union institutions and press facilities.
|
E2009859
|
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: Résidence Palace, Brussels | Statement: [Bloc B, situatedWithinComplex, Résidence Palace, Brussels]
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: Résidence Palace, Brussels Triple: [Bloc B, situatedWithinComplex, Résidence Palace, Brussels]
Generated description
Résidence Palace in Brussels is a historic Art Deco building complex that now houses key European Union institutions and press facilities.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situatedWithinComplex Context triple: [Bloc B, situatedWithinComplex, Résidence Palace, Brussels]
-
A.
housedWithinComplex
chosen
Indicates that one entity is located inside and functionally part of a larger building or facility complex.
-
B.
partOfTerminalComplex
Indicates that an entity functions as a component or subunit within a larger terminal complex structure.
-
C.
partOfResortComplexWith
Indicates that one entity is a component or facility within the same resort complex as the other entity, forming part of a shared resort property.
-
D.
locatedInBuildingOwnedBy
Indicates that one entity is situated within a building that is owned by another entity.
-
E.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c50ec5848190a95efbea4fcd8861 |
completed | May 3, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34706b720c8190b3ac48288b2c320c |
completed | June 18, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_6a3470eb59888190b257fd4bb4388959 |
completed | June 18, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3471ad2e5081908317c104296eb386 |
completed | June 18, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1 a.m.