Triple
T11777526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Red Years |
E280056
|
entity |
| Predicate | mainTypeOfEvent |
P7504
|
FINISHED |
| Object | mass strikes |
—
|
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: mass strikes | Statement: [Two Red Years, mainTypeOfEvent, mass strikes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTypeOfEvent Context triple: [Two Red Years, mainTypeOfEvent, mass strikes]
-
A.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
B.
typeOfEventForStart
Indicates the specific kind or category of event that marks the beginning of something.
-
C.
mainEventFor
Indicates that one event is the primary or central event associated with another entity, such as a context, grouping, or larger occurrence.
-
D.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
E.
mainEvents
Indicates that the referenced entities are the primary or most significant events within a given context, sequence, or narrative.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.