Triple
T2044045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry S. Truman Little White House |
E45408
|
entity |
| Predicate | preservesPeriodRooms |
P29543
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Harry S. Truman Little White House, preservesPeriodRooms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservesPeriodRooms Context triple: [Harry S. Truman Little White House, preservesPeriodRooms, true]
-
A.
hasPeriodRooms
chosen
Indicates that an entity contains rooms that are decorated or preserved to reflect specific historical periods.
-
B.
preservationFactor
Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
-
C.
stateOfPreservation
Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
-
D.
exhibitsPeriod
Indicates that an entity displays, manifests, or shows a particular period or phase as a characteristic or behavior.
-
E.
modernReservation
Indicates that an entity is a contemporary or currently active reservation associated with another entity (such as a group, person, or place).
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.