Triple
T2062947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BANZSL |
E45831
|
entity |
| Predicate | hasCommunicationMode |
P3332
|
FINISHED |
| Object | face-to-face |
—
|
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: face-to-face | Statement: [BANZSL, hasCommunicationMode, face-to-face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunicationMode Context triple: [BANZSL, hasCommunicationMode, face-to-face]
-
A.
hasCommunicationInterface
Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
-
B.
communicationMode
chosen
Indicates the method or channel through which communication between entities is carried out.
-
C.
hasCommunicationCodeType
Indicates that an entity is associated with a specific type or category of communication code (e.g., phone, fax, email, messaging).
-
D.
enablesCommunicationWith
Indicates that one entity provides the means or capability for another entity to communicate with a specified party or system.
-
E.
hasCommunicationFrequency
Indicates how often communication occurs between the related entities.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d239b48190a9f303446cbe3aa6 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.