Triple
T514038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Public Affairs (U.S. Department of Labor) |
E10666
|
entity |
| Predicate | typeOfCommunication |
P2798
|
FINISHED |
| Object | external communication |
—
|
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: external communication | Statement: [Office of Public Affairs (U.S. Department of Labor), typeOfCommunication, external communication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCommunication Context triple: [Office of Public Affairs (U.S. Department of Labor), typeOfCommunication, external communication]
-
A.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
B.
communicationChannel
chosen
Indicates a medium or method through which information is transmitted between parties.
-
C.
communicationModelRole
Indicates the role an entity plays within a communication model, specifying its function or position in the communication process.
-
D.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
E.
typeOfNegotiation
Indicates the specific kind or category of negotiation process that characterizes the interaction between the involved parties.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.