Triple
T1012373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Palace of Madrid |
E21850
|
entity |
| Predicate | hasFormerFunction |
P5925
|
FINISHED |
| Object | official residence of the Spanish royal family |
—
|
LITERAL 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: official residence of the Spanish royal family | Statement: [Royal Palace of Madrid, hasFormerFunction, official residence of the Spanish royal family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerFunction Context triple: [Royal Palace of Madrid, hasFormerFunction, official residence of the Spanish royal family]
-
A.
formerFunction
chosen
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
B.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
-
C.
hasFormerAnchor
Indicates that an entity previously served as an anchor (e.g., host or main presenter) for another entity, but no longer holds that role.
-
D.
hadFunction
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
E.
hasHubFunction
Indicates that an entity serves as a central hub or coordinating point for certain activities, connections, or functions within a system.
- F. None of above.
Provenance (3 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b72207c08190a3dbb2aa7acbbc71 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.