Triple
T1095976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drell–Yan processes |
E24272
|
entity |
| Predicate | initialState |
P10938
|
FINISHED |
| Object | quark |
—
|
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: quark | Statement: [Drell–Yan processes, initialState, quark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialState Context triple: [Drell–Yan processes, initialState, quark]
-
A.
standardState
Indicates that an entity is in its default, reference, or officially recognized condition or configuration under standard conditions.
-
B.
earliestState
chosen
Indicates that one state or condition occurs before all other related states in time, representing the earliest point in a sequence.
-
C.
typeOfState
Indicates that one state is a specific kind or category of another, more general state.
-
D.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
-
E.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.