Triple
T17074908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wright-Humason School for the Deaf |
E414322
|
entity |
| Predicate | attendanceStartYearOfHelenKeller |
P10338
|
FINISHED |
| Object | 1894 |
—
|
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: 1894 | Statement: [Wright-Humason School for the Deaf, attendanceStartYearOfHelenKeller, 1894]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceStartYearOfHelenKeller Context triple: [Wright-Humason School for the Deaf, attendanceStartYearOfHelenKeller, 1894]
-
A.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
B.
schoolFounded
Indicates that an educational institution was established or created at a specific time or by a particular founding entity.
-
C.
hasHistoricEventYear
Indicates the specific year in which a referenced historic event took place.
-
D.
yearTaken
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
-
E.
seniorDebutYear
Indicates the year in which an entity first began competing or participating at the senior (top-level) category.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc3b69c819093b32da3998eed46 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.