Triple
T17610335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTF |
E428949
|
entity |
| Predicate | flowMedium |
P128270
|
FINISHED |
| Object | cryogenic nitrogen |
—
|
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: cryogenic nitrogen | Statement: [NTF, flowMedium, cryogenic nitrogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowMedium Context triple: [NTF, flowMedium, cryogenic nitrogen]
-
A.
flowsMostly
Indicates that one entity predominantly flows or moves in the direction of, or through, another entity, more so than in other directions or paths.
-
B.
flowsBelow
Indicates that one entity moves or passes in a downward direction relative to another, positioned at a lower level or beneath it.
-
C.
flowsBeside
Indicates that one entity moves or runs alongside another entity in close proximity without crossing or intersecting it.
-
D.
streams
Indicates that one entity continuously transmits or delivers data, media, or content in real time to another entity.
-
E.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2d294881908380b2ab0b4d2503 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.