Triple
T15030909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stress–energy tensor |
E378339
|
entity |
| Predicate | hasFormFor |
P116453
|
FINISHED |
| Object | perfect fluid |
—
|
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: perfect fluid | Statement: [stress–energy tensor, hasFormFor, perfect fluid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormFor Context triple: [stress–energy tensor, hasFormFor, perfect fluid]
-
A.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
B.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
C.
isFormedFor
Indicates that something is created, established, or brought into existence for a particular purpose, function, or beneficiary.
-
D.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
E.
hasFormed
Indicates that an entity has come together or been created into a particular structure, group, or configuration.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.