Triple
T27572005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 7432 |
E696061
|
entity |
| Predicate | usesTransportNetwork |
P169940
|
FINISHED |
| Object | IP/MPLS |
—
|
NE NERFINISHED |
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/MPLS | Statement: [RFC 7432, usesTransportNetwork, IP/MPLS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTransportNetwork Context triple: [RFC 7432, usesTransportNetwork, IP/MPLS]
-
A.
usesPublicTransportNetwork
Indicates that an entity makes use of a public transportation system (such as buses, trains, trams, or subways) to travel or operate.
-
B.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
C.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
D.
hasPublicTransportUsage
Indicates that an entity makes use of, or is associated with the use of, public transportation services.
-
E.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 27, 2026, 1:43 p.m.