Triple
T1930929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xetra |
E40943
|
entity |
| Predicate | supportsParticipantType |
P33564
|
FINISHED |
| Object | banks |
—
|
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: banks | Statement: [Xetra, supportsParticipantType, banks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsParticipantType Context triple: [Xetra, supportsParticipantType, banks]
-
A.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
B.
supportsAccountType
Indicates that one entity is compatible with, or able to operate for, a specified type or category of account.
-
C.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
welcomesParticipantsOf
Indicates that one entity receives or greets the participants associated with another entity in a friendly or accepting manner.
-
E.
supportsMissionType
Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb296910481908c9668518c09fdb0 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb20c4970819086e66a5435744297 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:35 p.m.