Triple
T9932233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSIG |
E192672
|
entity |
| Predicate | positionInMessage |
P91207
|
FINISHED |
| Object | additional section of DNS message |
—
|
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: additional section of DNS message | Statement: [TSIG, positionInMessage, additional section of DNS message]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInMessage Context triple: [TSIG, positionInMessage, additional section of DNS message]
-
A.
positionInField
Indicates the specific role, location, or functional placement an entity occupies within a defined field, domain, or area of activity.
-
B.
positionInMass
Indicates that an entity occupies a specific location or role within a larger undifferentiated group, collection, or mass.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionInEvent
Indicates the specific role, placement, or ordering that an entity has within a particular event.
-
E.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b7897081909b28189aa57af250 |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:43 p.m.