Triple
T15867651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Necessary Existent |
E384752
|
entity |
| Predicate | hasModalStatus |
P120829
|
FINISHED |
| Object | necessary in itself |
—
|
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: necessary in itself | Statement: [Necessary Existent, hasModalStatus, necessary in itself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModalStatus Context triple: [Necessary Existent, hasModalStatus, necessary in itself]
-
A.
hasModelStatus
Indicates that an entity is assigned a particular model-related state or condition, such as its current phase, validity, or operational status within a modeling context.
-
B.
hasStatusBasedOn
Indicates that an entity’s status is determined or derived from another condition, event, or entity.
-
C.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
-
D.
hasNavigationStatus
Indicates the current state or condition of an entity’s navigation, such as whether and how it is actively navigating.
-
E.
hasAccessMode
Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.