Triple
T22692374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cajal bodies |
E561083
|
entity |
| Predicate | numberDependsOn |
P67766
|
FINISHED |
| Object | transcriptional activity |
—
|
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: transcriptional activity | Statement: [Cajal bodies, numberDependsOn, transcriptional activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberDependsOn Context triple: [Cajal bodies, numberDependsOn, transcriptional activity]
-
A.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
B.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
C.
numberOfMembersDeterminedBy
chosen
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
D.
numberOfUnknowns
Indicates the count of variables or elements in a situation, equation, or problem whose values are not yet determined or specified.
-
E.
numberVariedBetween
Indicates that the numerical value associated with an entity changed across a specified range between two points or over a given period.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.