Triple
T4384195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hypothesis of the primeval atom |
E99200
|
entity |
| Predicate | characterizesInitialStateAs |
P20799
|
FINISHED |
| Object | extremely dense |
—
|
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: extremely dense | Statement: [hypothesis of the primeval atom, characterizesInitialStateAs, extremely dense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesInitialStateAs Context triple: [hypothesis of the primeval atom, characterizesInitialStateAs, extremely dense]
-
A.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
-
C.
initiallyPositionedAs
Indicates that one entity’s starting or original position is specified relative to another entity or reference frame.
-
D.
firstCharacterType
Indicates that the type or category of the first character in a sequence or string has a specified value.
-
E.
initialTrait
chosen
Indicates that a particular trait or characteristic is present in an entity at the beginning of a process, state, or time period.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35263970c8190904ee20d81715833 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.