Triple
T25949322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asurans |
E653925
|
entity |
| Predicate | programmingTrait |
P160959
|
FINISHED |
| Object | aggression |
—
|
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: aggression | Statement: [Asurans, programmingTrait, aggression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmingTrait Context triple: [Asurans, programmingTrait, aggression]
-
A.
programmingCharacteristic
Indicates a relationship where an entity possesses or exhibits a particular property, trait, or quality specifically related to programming.
-
B.
developedTrait
Indicates that an entity has acquired or evolved a particular characteristic, quality, or feature over time.
-
C.
programmingFeature
Indicates a relationship where one entity is a specific programming-related capability, construct, or functionality provided or supported by another entity (such as a language, tool, or system).
-
D.
initialTrait
Indicates that a particular trait or characteristic is present in an entity at the beginning of a process, state, or time period.
-
E.
containsTrait
Indicates that one entity possesses, exhibits, or is characterized by a specified trait.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60dfaeebc8190ac01d3a0030acf55 |
completed | May 2, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c68b02c8190870758d79cdec68b |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 22, 2026, 8:43 a.m.