Triple
T6218364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Linear Collider |
E139047
|
entity |
| Predicate | primaryDetectorConcept |
P68725
|
FINISHED |
| Object | ILD detector concept |
—
|
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: ILD detector concept | Statement: [International Linear Collider, primaryDetectorConcept, ILD detector concept]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDetectorConcept Context triple: [International Linear Collider, primaryDetectorConcept, ILD detector concept]
-
A.
detectorConcept
chosen
Indicates that one entity functions as a detector whose conceptual design, type, or detection principle is characterized or specified by the other entity.
-
B.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
C.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
D.
primarySense
Indicates that one sense or meaning of an entity is designated as its main or most central sense among possible alternatives.
-
E.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a481908190a1418d9fcfaf8137 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.