Triple
T34585427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z boson |
E888029
|
entity |
| Predicate | massMeasuredPreciselyAt |
P120422
|
FINISHED |
| Object | LEP collider at CERN |
—
|
NE NERFINISHED |
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: LEP collider at CERN | Statement: [Z boson, massMeasuredPreciselyAt, LEP collider at CERN]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massMeasuredPreciselyAt Context triple: [Z boson, massMeasuredPreciselyAt, LEP collider at CERN]
-
A.
measuredAt
Indicates the time or point at which a measurement was taken or recorded for an entity or event.
-
B.
systemUsedToDetermineMassOf
chosen
Indicates a relationship where a system is employed as the method or tool to measure or calculate the mass of something.
-
C.
wasPreviouslyMeasuredAs
Indicates that an entity had a specific measurement or value at an earlier time, which may differ from its current measurement.
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
measuredAs
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720c7ea608190bd92d69643330823 |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:03 a.m.