Triple
T30430446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Strauss |
E774147
|
entity |
| Predicate | canLiquefy |
P75608
|
FINISHED |
| Object | her own body |
—
|
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: her own body | Statement: [Tracy Strauss, canLiquefy, her own body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canLiquefy Context triple: [Tracy Strauss, canLiquefy, her own body]
-
A.
isCryogenic
Indicates that something operates at, is designed for, or involves extremely low (cryogenic) temperatures.
-
B.
canMelt
chosen
Indicates that one entity has the capability to melt another entity or substance under appropriate conditions.
-
C.
cryogen
Indicates that an entity is preserved or maintained at extremely low temperatures, typically to halt biological or chemical processes.
-
D.
usedInCryogenics
Indicates that something is employed or applied within cryogenic processes, technologies, or environments involving extremely low temperatures.
-
E.
hasLiquefactionTrain
Indicates that a facility or site includes a specific liquefaction train unit used to convert gas into liquefied form.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866c549c8190985ef4bf8032209e |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:06 p.m.