Triple
T4947661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyle's law |
E111089
|
entity |
| Predicate | holdsWhen |
P27209
|
FINISHED |
| Object | temperature is constant (isothermal process) |
—
|
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: temperature is constant (isothermal process) | Statement: [Boyle's law, holdsWhen, temperature is constant (isothermal process)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsWhen Context triple: [Boyle's law, holdsWhen, temperature is constant (isothermal process)]
-
A.
heldWhen
Indicates that a particular state, condition, or relationship was true during a specified time or under certain temporal circumstances.
-
B.
holdsFor
Indicates that a particular relationship or condition remains true over a specified interval or duration of time.
-
C.
holdsIn
Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
-
D.
holdsUnder
chosen
Indicates that one entity maintains possession, control, or validity of another entity subject to certain conditions, constraints, or a specific context.
-
E.
heldAfter
Indicates that one event or state occurs or is maintained at some point in time after another specified event or state.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd716520f08190862249efb2058fd4 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.