Triple
T2869048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic Royal Palaces |
E63511
|
entity |
| Predicate | typeOfSiteManaged |
P10374
|
FINISHED |
| Object | unoccupied royal palaces |
—
|
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: unoccupied royal palaces | Statement: [Historic Royal Palaces, typeOfSiteManaged, unoccupied royal palaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSiteManaged Context triple: [Historic Royal Palaces, typeOfSiteManaged, unoccupied royal palaces]
-
A.
typeOfSite
Indicates the specific category or kind of site that an entity is classified as.
-
B.
siteTypeServed
chosen
Indicates the type of site or location that is served, supported, or handled by a given entity or resource.
-
C.
hasAdministrationSite
Indicates the specific location or site on or in a subject where a substance, treatment, or intervention is administered.
-
D.
typeOfEquipmentManaged
Indicates the specific kind or category of equipment that an entity is responsible for managing.
-
E.
typeOfLicensingItManaged
Indicates that one entity manages or oversees the licensing arrangements or permissions associated with another entity.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfdfef1881909dc52a1b34cd24e3 |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.