Triple
T163266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States presidential election |
E2955
|
entity |
| Predicate | firstHeld |
P4114
|
FINISHED |
| Object | 1788–1789 |
—
|
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: 1788–1789 | Statement: [United States presidential election, firstHeld, 1788–1789]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHeld Context triple: [United States presidential election, firstHeld, 1788–1789]
-
A.
held
Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
-
B.
firstOccupied
Indicates that an entity was the initial or earliest occupant of a particular place, position, or resource.
-
C.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
D.
holding
Indicates that one entity is physically grasping, carrying, or keeping another entity in its possession or control.
-
E.
firstAppeared
chosen
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a2585a1a6481908899ad51211950e8 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2566392208190a538ea9aa1fac53e |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.