Triple
T21121218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower of London moat |
E520434
|
entity |
| Predicate | usedSeasonallyFor |
P98
|
FINISHED |
| Object | outdoor cultural events |
—
|
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: outdoor cultural events | Statement: [Tower of London moat, usedSeasonallyFor, outdoor cultural events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSeasonallyFor Context triple: [Tower of London moat, usedSeasonallyFor, outdoor cultural events]
-
A.
usedInSeason
Indicates that something (such as an item, strategy, or element) is utilized or appears within a particular season.
-
B.
usedForSeasonRange
Indicates the span of seasons or time period during which something is intended or suitable to be used.
-
C.
isSeasonalStandard
Indicates that something follows or conforms to the standard conditions, rules, or patterns that apply only during a specific season or time period.
-
D.
isUsedAllYear
Indicates that something is utilized or remains in active use throughout the entire year, without being limited to a particular season or period.
-
E.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e722348fe08190a1f079b7b0b5dd14 |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:55 p.m.