Triple
T10157553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noise_IX pattern |
E233810
|
entity |
| Predicate | hasInitiatorMessageCount |
P92325
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Noise_IX pattern, hasInitiatorMessageCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitiatorMessageCount Context triple: [Noise_IX pattern, hasInitiatorMessageCount, 2]
-
A.
hasMessageNumber
Indicates that an entity is associated with a specific message identified by a particular number in a sequence or set.
-
B.
hasInitiation
Indicates that one entity initiates, starts, or triggers an action, process, or relationship involving another entity.
-
C.
hasMessageSender
Indicates that one entity is the sender or originator of a given message.
-
D.
hasInitialNomineeCount
Indicates that an entity is associated with the original number of nominees it had at the start of a selection or nomination process.
-
E.
hasFirstRecipient
Indicates that an entity is the initial or primary recipient of something (such as a message, award, or transfer) in a sequence or set of recipients.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5507f08190b47f797bacd5640c |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.