Triple
T4468443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CERN n_TOF facility |
E98435
|
entity |
| Predicate | neutronProductionTarget |
P35502
|
FINISHED |
| Object | lead target |
—
|
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: lead target | Statement: [CERN n_TOF facility, neutronProductionTarget, lead target]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutronProductionTarget Context triple: [CERN n_TOF facility, neutronProductionTarget, lead target]
-
A.
neutronSpectrum
Indicates the energy distribution or range of neutrons present in a given system, interaction, or environment.
-
B.
neutronFluxType
Indicates the specific classification or category of neutron flux characterizing how neutrons are distributed or behave in a given context.
-
C.
usesNeutronReflector
Indicates that an entity employs a neutron reflector to bounce escaping neutrons back into a region, typically to enhance or sustain a nuclear reaction.
-
D.
neutrinoBeamDestination
Indicates the target location or object toward which a neutrino beam is directed or intended to travel.
-
E.
plannedTarget
chosen
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.