Triple
T3550025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckingham House |
E75087
|
entity |
| Predicate | enlargementStart |
P2365
|
FINISHED |
| Object | 1820s |
—
|
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: 1820s | Statement: [Buckingham House, enlargementStart, 1820s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enlargementStart Context triple: [Buckingham House, enlargementStart, 1820s]
-
A.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
-
B.
expandedDuring
chosen
Indicates that an entity increased in size, scope, or extent over the course of a specified time period or event.
-
C.
majorExpansionUnder
Indicates that one entity is undergoing or has undergone a significant enlargement, growth, or extension while being under the authority, control, or scope of another entity.
-
D.
ramExpandableTo
Indicates that a device’s RAM can be increased from its current capacity up to a specified maximum amount.
-
E.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd38c8c8190a4591689ad57c998 |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adb83270ac819083967db0570167d2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:20 p.m.