Triple
T286333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Reactor |
E5892
|
entity |
| Predicate | moderator |
P10370
|
FINISHED |
| Object | graphite |
—
|
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: graphite | Statement: [B Reactor, moderator, graphite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moderator Context triple: [B Reactor, moderator, graphite]
-
A.
manager
Indicates that one entity holds a supervisory or administrative role with authority and responsibility over another entity.
-
B.
host
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
C.
commissioner
Indicates that an entity holds the role or position of commissioner in relation to another entity or context.
-
D.
chairperson
Indicates that one entity serves as the leader or head of a group, committee, or organization in relation to another entity.
-
E.
supporter
Indicates a relationship where one entity backs, advocates for, or provides assistance to another entity, often in an ongoing or affiliative way.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a2605b372c8190831570aa6532cc96 |
completed | Feb. 28, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69a25b7a8d148190aacdcc8ccb35c7f3 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a2605a3d988190a8872169fd8eb2e8 |
completed | Feb. 28, 2026, 3:26 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.