Triple
T1492036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arm1 detector |
E29600
|
entity |
| Predicate | positionRelativeToBeam |
P23578
|
FINISHED |
| Object | on one side of the interaction point |
—
|
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: on one side of the interaction point | Statement: [Arm1 detector, positionRelativeToBeam, on one side of the interaction point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToBeam Context triple: [Arm1 detector, positionRelativeToBeam, on one side of the interaction point]
-
A.
positionRelativeToTower
Indicates the spatial relationship or placement of an entity with respect to a specified tower.
-
B.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
C.
relativePosition
chosen
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
D.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
E.
positionInMass
Indicates that an entity occupies a specific location or role within a larger undifferentiated group, collection, or mass.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.