Triple
T313576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KB |
E7657
|
entity |
| Predicate | mayRepresent |
P6726
|
FINISHED |
| Object | Concept |
—
|
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: Concept | Statement: [KB, mayRepresent, Concept]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayRepresent Context triple: [KB, mayRepresent, Concept]
-
A.
canRepresent
chosen
Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
-
B.
signedByRepresentativeOf
Indicates that an item (such as a document or agreement) has been signed on behalf of a party by that party’s authorized representative.
-
C.
mayReportTo
Indicates that one entity is permitted or allowed to have a reporting relationship to another entity, such as an employee being allowed to report to a particular manager.
-
D.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
E.
eraRepresented
Indicates that a subject depicts, symbolizes, or stands for a particular historical or temporal era.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4bd6a081909bdb57602c7093b4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e9428098819089d5950cd2c96dc4 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.