Triple
T19654903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President’s Guest House complex |
E471910
|
entity |
| Predicate | guestType |
P80078
|
FINISHED |
| Object | foreign heads of state |
—
|
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 heads of state | Statement: [President’s Guest House complex, guestType, foreign heads of state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guestType Context triple: [President’s Guest House complex, guestType, foreign heads of state]
-
A.
guestRole
chosen
Indicates that one entity participates in or is associated with another entity in the capacity of a guest, specifying the nature or type of that guest participation.
-
B.
returnsAsGuestIn
Indicates that an entity comes back to participate or appear again in a context, but specifically in the role or capacity of a guest rather than a regular or primary member.
-
C.
relationshipWithGuests
Indicates the nature or status of the connection or interaction that someone has with their guests.
-
D.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
E.
guestFlow
Indicates the movement or progression of guests through a space, process, or experience over time.
- 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.