Triple
T230775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LHCf |
E4405
|
entity |
| Predicate | distanceFromInteractionPoint |
P7750
|
FINISHED |
| Object | about 140 meters from ATLAS 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: about 140 meters from ATLAS interaction point | Statement: [LHCf, distanceFromInteractionPoint, about 140 meters from ATLAS interaction point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromInteractionPoint Context triple: [LHCf, distanceFromInteractionPoint, about 140 meters from ATLAS interaction point]
-
A.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
B.
locatedAtInteractionPoint
Indicates that an entity is positioned at a specific interaction point where interactions or exchanges are intended to occur.
-
C.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
D.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
-
E.
distanceCategory
Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b5a075081909b0e9b88c1492d5a |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.