Triple
T244440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | law of universal gravitation |
E5005
|
entity |
| Predicate | includesConstant |
P9782
|
FINISHED |
| Object | gravitational constant |
—
|
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: gravitational constant | Statement: [law of universal gravitation, includesConstant, gravitational constant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesConstant Context triple: [law of universal gravitation, includesConstant, gravitational constant]
-
A.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
constant
Indicates that the relationship or value does not change across different instances, contexts, or over time.
-
C.
containsCharacter
Indicates that one entity includes a specific character as part of its content or composition.
-
D.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
E.
isAdditiveFor
Indicates that one entity can be combined with another in a way that their effects or quantities sum together to produce a cumulative result.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b62839c8190824064fe5da6a92a |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25dcba5148190ab80fd14c7cf4bb4 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.