Triple
T19654985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowan House |
E471913
|
entity |
| Predicate | primaryOccupantType |
P63093
|
FINISHED |
| Object | foreign dignitaries |
—
|
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: foreign dignitaries | Statement: [Rowan House, primaryOccupantType, foreign dignitaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOccupantType Context triple: [Rowan House, primaryOccupantType, foreign dignitaries]
-
A.
personType
Indicates that an entity is classified as a particular type or category of person.
-
B.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
C.
primaryUserType
chosen
Indicates the main or dominant category of user associated with an entity or interaction.
-
D.
politicalStatusOfOccupant
Indicates the political role, affiliation, or status held by the occupant of a given position, place, or office.
-
E.
speciesOfPrimaryUser
Indicates the biological species to which the primary user of something (e.g., a device, service, or resource) belongs.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641452ac481908d5493506ee96516 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.