Triple
T19503861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Pennsylvania |
E487970
|
entity |
| Predicate | inaugurationTime |
P2496
|
FINISHED |
| Object | January following the election |
—
|
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: January following the election | Statement: [Lieutenant Governor of Pennsylvania, inaugurationTime, January following the election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inaugurationTime Context triple: [Lieutenant Governor of Pennsylvania, inaugurationTime, January following the election]
-
A.
inaugurationDate
chosen
Indicates the date on which an official ceremony formally installs a person into a specific office or position.
-
B.
inauguratedFor
Indicates that a formal ceremony or event was held to officially begin or dedicate something specifically for a particular entity, role, or purpose.
-
C.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
D.
inaugurationDay
Indicates the specific day on which a formal ceremony is held to induct someone into an official position or office.
-
E.
inauguralEventDate
Indicates the calendar date on which an entity’s first or inaugural event 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635105db8819084915dc2d047188d |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.