Triple
T9618151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 United States Senate elections |
E232269
|
entity |
| Predicate | tookPlaceOnSameDayAs |
P15660
|
FINISHED |
| Object | many state and local elections |
—
|
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: many state and local elections | Statement: [2008 United States Senate elections, tookPlaceOnSameDayAs, many state and local elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPlaceOnSameDayAs Context triple: [2008 United States Senate elections, tookPlaceOnSameDayAs, many state and local elections]
-
A.
heldOnSameDayAs
chosen
Indicates that two events or occurrences took place on the same calendar day.
-
B.
diedInSameYearAs
Indicates that two entities each died in the same calendar year.
-
C.
signedOnSameDayAs
Indicates that two signing events occurred on the same calendar date, regardless of the specific time.
-
D.
samePersonAs
Indicates that two referenced entities are in fact the very same individual, not just similar or related.
-
E.
createdBySamePersonAs
Indicates that two entities were both created by the same individual or agent.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ab0a15481908945b50c622b71b9 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.