Triple
T4239759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Librarian’s Dining Room |
E94781
|
entity |
| Predicate | typicalOccupants |
P21135
|
FINISHED |
| Object | official guests |
—
|
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 guests | Statement: [Librarian’s Dining Room, typicalOccupants, official guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOccupants Context triple: [Librarian’s Dining Room, typicalOccupants, official guests]
-
A.
occupants
Indicates that certain entities are currently inhabiting, residing in, or using a particular place, space, or object.
-
B.
hasPrimaryOccupants
chosen
Indicates that certain entities are the main or principal occupants of another entity (such as a space, structure, or location).
-
C.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
D.
inhabitedBy
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
-
E.
hostOccupation
Indicates that one entity serves as the primary job, profession, or role held by 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e77fb5c8190b298818acb68ff63 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.