Triple
T8852336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCPREQUEST |
E210666
|
entity |
| Predicate | precedesMessageType |
P84996
|
FINISHED |
| Object | DHCPACK |
—
|
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: DHCPACK | Statement: [DHCPREQUEST, precedesMessageType, DHCPACK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesMessageType Context triple: [DHCPREQUEST, precedesMessageType, DHCPACK]
-
A.
precedesLetter
Indicates that one letter comes immediately before another letter in a specified ordering, such as the alphabet or a given sequence.
-
B.
preambleBeginsWith
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
-
C.
precedesNumeral
Indicates that one numeral comes before another numeral in a specified ordering or sequence.
-
D.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
E.
precedentFor
Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cffe8ec819084c12770fe0578f2 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:49 p.m.