Triple
T34541806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arptables |
E886824
|
entity |
| Predicate | canMatchOn |
P156618
|
FINISHED |
| Object | ARP source IP address |
—
|
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: ARP source IP address | Statement: [arptables, canMatchOn, ARP source IP address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canMatchOn Context triple: [arptables, canMatchOn, ARP source IP address]
-
A.
hasMatch
Indicates that one entity corresponds to, aligns with, or is considered an equivalent or suitable counterpart to another entity.
-
B.
mayMatch
chosen
Indicates a potential or permissible correspondence or pairing between two entities, without guaranteeing that the match actually occurs.
-
C.
requiresMatchFrom
Indicates that one entity’s validity or operation depends on finding a corresponding matching entity according to specified criteria.
-
D.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
E.
usesMatchesFrom
Indicates that one entity relies on or incorporates matches (e.g., pattern matches, rule matches, or result matches) produced by another entity or process.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff6a6d48190b84bd9e1cc217e70 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.