Triple
T28868337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Robert Borden High School |
E729064
|
entity |
| Predicate | hasNamesakeNotableOfficeEndYear |
P193246
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Sir Robert Borden High School, hasNamesakeNotableOfficeEndYear, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamesakeNotableOfficeEndYear Context triple: [Sir Robert Borden High School, hasNamesakeNotableOfficeEndYear, 1920]
-
A.
hasNamesakeNotableOfficeStartYear
Indicates that the namesake of an entity began holding a notable office or position in the specified year.
-
B.
notableOfficePeriod
Indicates that an entity held a particular office or position during a specified time period.
-
C.
notableOfficeStartYear
Indicates the calendar year in which an entity began serving in a particular notable office or position.
-
D.
notableOfficeHolder
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
-
E.
firstOfficeholderEnd
Indicates the point in time or event at which the tenure of the first officeholder in a given position or role comes to an end.
- F. None of above. chosen
Provenance (4 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 28, 2026, 6:49 a.m.