Triple
T270372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICMP |
E5619
|
entity |
| Predicate | encapsulatedIn |
P1444
|
FINISHED |
| Object | IP packet |
—
|
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: IP packet | Statement: [ICMP, encapsulatedIn, IP packet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encapsulatedIn Context triple: [ICMP, encapsulatedIn, IP packet]
-
A.
encodedIn
chosen
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
-
B.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
C.
annexedBy
Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
-
D.
containsEnclave
Indicates that one region or territory fully surrounds and encloses another distinct region or territory as an enclave.
-
E.
enclosesCountry
Indicates that one geopolitical entity completely surrounds or contains the territory of another country within its boundaries.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.