Triple
T16223284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bled Castle |
E393782
|
entity |
| Predicate | earliestMention |
P98261
|
FINISHED |
| Object | 1011 |
—
|
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: 1011 | Statement: [Bled Castle, earliestMention, 1011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestMention Context triple: [Bled Castle, earliestMention, 1011]
-
A.
ageFirstMentioned
chosen
Indicates the point in time or age at which an entity is first referenced or mentioned in a given context.
-
B.
earliestDate
Indicates the earliest point in time at which an associated event, state, or relationship is considered to begin or be valid.
-
C.
earliestWellKnownExample
Indicates that one entity is the earliest well-known example or instance of the other entity.
-
D.
earliestRecordedAs
Indicates the earliest known time or source at which the subject is documented or identified as having a particular status, name, or role.
-
E.
earliestAttestedStatus
Indicates the earliest known or recorded status that has been documented for an 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d23e63881908806920d878f2adb |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.