Triple
T13840492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuelan crisis of 1902–1903 |
E332642
|
entity |
| Predicate | positionHeldByParticipant |
P8
|
FINISHED |
| Object | President of Venezuela |
—
|
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: President of Venezuela | Statement: [Venezuelan crisis of 1902–1903, positionHeldByParticipant, President of Venezuela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldByParticipant Context triple: [Venezuelan crisis of 1902–1903, positionHeldByParticipant, President of Venezuela]
-
A.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
positionInRound
Indicates the specific ordinal place an entity occupies within a given round or sequence of rounds.
-
C.
positionInAct
Indicates the specific location or role that something occupies within a particular act or segment of a larger sequence or performance.
-
D.
siblingPositionHeld
Indicates the specific ordinal position an individual holds among their siblings within a family or sibling group.
-
E.
ownerPosition
Indicates the spatial or positional relationship of an owner relative to the owned entity.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.