Triple
T6410364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election, 1916 |
E127687
|
entity |
| Predicate | CaliforniaOutcome |
P70485
|
FINISHED |
| Object | narrowly carried by Woodrow Wilson |
—
|
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: narrowly carried by Woodrow Wilson | Statement: [United States presidential election, 1916, CaliforniaOutcome, narrowly carried by Woodrow Wilson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CaliforniaOutcome Context triple: [United States presidential election, 1916, CaliforniaOutcome, narrowly carried by Woodrow Wilson]
-
A.
isInNorthernOrSouthernCalifornia
Indicates that an entity is located within either the northern or southern region of California.
-
B.
westernTerminusState
Indicates the state in which something (such as a route, line, or path) has its western endpoint or terminus.
-
C.
crashCounty
Indicates the county in which a crash or collision event occurred.
-
D.
tookPlaceInState
Indicates that an event or occurrence happened within the geographical or political boundaries of a specific state.
-
E.
rankInCaliforniaByPopulation
Indicates the ordinal position of an entity in a list of California entities ordered by their population size.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:41 p.m.