Triple
T4772073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tannenberg Memorial |
E105950
|
entity |
| Predicate | inauguration |
P24169
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [Tannenberg Memorial, inauguration, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguration Context triple: [Tannenberg Memorial, inauguration, 1927]
-
A.
inaugurationEvent
Indicates an event in which a person is formally installed or inducted into an official position or office.
-
B.
inauguralEvent
Indicates that an event is the first in a series or marks the formal beginning of a recurring activity, program, or institution.
-
C.
inaugurated
Indicates that a person is formally introduced or installed into an official position, office, or role through a ceremonial event.
-
D.
inauguratedWith
chosen
Indicates that an event, position, or institution was formally initiated or opened through a specific ceremony, action, or accompanying element.
-
E.
inauguralHolder
Indicates that the subject is the first person or entity to hold a particular position, title, office, or role.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655e5dcc8190a932be9b1baaffb2 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.