Triple
T7233163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Tippecanoe |
E154950
|
entity |
| Predicate | hasAssociatedPresidentialTermStart |
P14209
|
FINISHED |
| Object | 1841 |
—
|
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: 1841 | Statement: [Old Tippecanoe, hasAssociatedPresidentialTermStart, 1841]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedPresidentialTermStart Context triple: [Old Tippecanoe, hasAssociatedPresidentialTermStart, 1841]
-
A.
presidentTermStart
chosen
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
B.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
C.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
D.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
E.
spansPresidentialTerm
Indicates that an event, period, or entity extends across the duration of a specified presidential term, covering at least part of that term.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.