Triple
T2051492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Review Conference of the Rome Statute |
E45577
|
entity |
| Predicate | followedFrom |
P15940
|
FINISHED |
| Object | entry into force of the Rome Statute in 2002 |
—
|
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: entry into force of the Rome Statute in 2002 | Statement: [Review Conference of the Rome Statute, followedFrom, entry into force of the Rome Statute in 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedFrom Context triple: [Review Conference of the Rome Statute, followedFrom, entry into force of the Rome Statute in 2002]
-
A.
followsFrom
chosen
Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
-
B.
followerOf
Indicates that one entity subscribes to, tracks, or regularly receives updates from another entity, typically in a social or informational context.
-
C.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
D.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
-
E.
followsCharactersFrom
Indicates that one entity continues or tracks the narrative, actions, or developments involving specific characters from another 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98f5f4881908d9aa0f10be44041 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.