Triple
T7423172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N-Triples |
E171297
|
entity |
| Predicate | escapeMechanism |
P76881
|
FINISHED |
| Object | backslash escapes for special characters |
—
|
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: backslash escapes for special characters | Statement: [N-Triples, escapeMechanism, backslash escapes for special characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: escapeMechanism Context triple: [N-Triples, escapeMechanism, backslash escapes for special characters]
-
A.
escapeStatus
Indicates whether an entity has escaped, is in the process of escaping, or has not escaped from a given situation or confinement.
-
B.
escapeAttempt
Indicates an action where an entity tries to get away from confinement, control, or a restricting situation.
-
C.
escapeLocation
Indicates that an entity moves away from or leaves a location to avoid danger, capture, or an undesirable situation.
-
D.
escapeBehavior
Indicates a relationship where an entity actively attempts to avoid, flee from, or get away from another entity, situation, or constraint.
-
E.
launchEscapeSystem
Indicates initiating or activating an emergency mechanism designed to rapidly propel occupants or payload away from a vehicle or structure to ensure their safety.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.