Triple
T1161193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Tracking System |
E24493
|
entity |
| Predicate | locatedAtRadius |
P23277
|
FINISHED |
| Object | few centimeters to tens of centimeters from beam line |
—
|
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: few centimeters to tens of centimeters from beam line | Statement: [Inner Tracking System, locatedAtRadius, few centimeters to tens of centimeters from beam line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtRadius Context triple: [Inner Tracking System, locatedAtRadius, few centimeters to tens of centimeters from beam line]
-
A.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
B.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
radarLocation
Indicates the geographic position where a radar system is installed or operating.
-
D.
approximateRadius
chosen
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
-
E.
locatedAtInteractionPoint
Indicates that an entity is positioned at a specific interaction point where interactions or exchanges are intended to occur.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb1915081908834ced85d09e299 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.