Triple
T9756915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unit 1 |
E236575
|
entity |
| Predicate | usesNeutronModerator |
P90829
|
FINISHED |
| Object | water |
—
|
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: water | Statement: [Unit 1, usesNeutronModerator, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNeutronModerator Context triple: [Unit 1, usesNeutronModerator, water]
-
A.
neutronDetectionReaction
Indicates a reaction in which neutrons are detected through their interaction with a target or detector material.
-
B.
neutronSpectrum
Indicates the energy distribution or range of neutrons present in a given system, interaction, or environment.
-
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.
neutronFluxType
Indicates the specific classification or category of neutron flux characterizing how neutrons are distributed or behave in a given context.
-
E.
hasNeutronNumber
Indicates that an entity (typically an atom or nuclide) has a specified number of neutrons in its nucleus.
- F. None of above. chosen
Provenance (4 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb2889481908fba4a449d5007fe |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:24 p.m.