Triple
T11108960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomas Mikolov |
E262703
|
entity |
| Predicate | hasCitationCount |
P97311
|
FINISHED |
| Object | tens of thousands of citations |
—
|
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: tens of thousands of citations | Statement: [Tomas Mikolov, hasCitationCount, tens of thousands of citations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCitationCount Context triple: [Tomas Mikolov, hasCitationCount, tens of thousands of citations]
-
A.
hasCitationImpact
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
B.
isCitedFor
Indicates that one entity references another as a source of information, evidence, or authority for a specific claim, idea, or contribution.
-
C.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
D.
hasCitationSystem
Indicates that one entity uses, follows, or is governed by a particular citation or referencing system defined by another entity.
-
E.
hasCitationForm
Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a67d10c8190815d4c27d55270e8 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.