Triple
T10158710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTCP |
E233833
|
entity |
| Predicate | encapsulatedWithin |
P33248
|
FINISHED |
| Object | IRC message body |
—
|
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: IRC message body | Statement: [CTCP, encapsulatedWithin, IRC message body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encapsulatedWithin Context triple: [CTCP, encapsulatedWithin, IRC message body]
-
A.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
B.
encapsulation
chosen
Indicates that one entity encloses, contains, or wraps another entity or set of details within a defined boundary, often hiding internal structure from external access.
-
C.
hasEnclosures
Indicates that an entity possesses or contains one or more enclosing structures, spaces, or bounded areas associated with it.
-
D.
encodedIn
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
-
E.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec56d944819081bc6ea36c905ba2 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.