Triple
T6010053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NA49 |
E133808
|
entity |
| Predicate | hasPhysicsGoal |
P64732
|
FINISHED |
| Object | study of quark–gluon plasma signatures |
—
|
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: study of quark–gluon plasma signatures | Statement: [NA49, hasPhysicsGoal, study of quark–gluon plasma signatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicsGoal Context triple: [NA49, hasPhysicsGoal, study of quark–gluon plasma signatures]
-
A.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
B.
hasResearchGoal
chosen
Indicates that an entity has a specific research objective, aim, or target it is pursuing or designed to address.
-
C.
hasOperationalGoal
Indicates that an entity is associated with a specific objective or target it aims to achieve through its operations or activities.
-
D.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
E.
hasTherapeuticGoal
Indicates that an action, treatment, or intervention is undertaken with the intention of achieving a specific therapeutic or health-related outcome.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4ffa008190a8ef701b82260219 |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.