Triple
T17074909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wright-Humason School for the Deaf |
E414322
|
entity |
| Predicate | attendanceEndYearOfHelenKeller |
P214
|
FINISHED |
| Object | 1896 |
—
|
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: 1896 | Statement: [Wright-Humason School for the Deaf, attendanceEndYearOfHelenKeller, 1896]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceEndYearOfHelenKeller Context triple: [Wright-Humason School for the Deaf, attendanceEndYearOfHelenKeller, 1896]
-
A.
trialEndYear
Indicates the calendar year in which a trial or experimental study concludes.
-
B.
activeYearsEndTime
Indicates the point in time when an entity’s period of activity or operation comes to an end.
-
C.
endYear
chosen
Indicates the year in which an event, state, or relationship comes to an end.
-
D.
endYearApprox
Indicates that the end year of an event, state, or relationship is known only approximately rather than as a precise calendar year.
-
E.
yearHeld
Indicates the specific year during which an event, position, or status was held or took place.
- 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.