Triple
T37449724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacteria |
E930642
|
entity |
| Predicate | cellDivisionTimeRange |
P102688
|
FINISHED |
| Object | Minutes to hours |
—
|
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: Minutes to hours | Statement: [Bacteria, cellDivisionTimeRange, Minutes to hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellDivisionTimeRange Context triple: [Bacteria, cellDivisionTimeRange, Minutes to hours]
-
A.
cellDivisionMachinery
Indicates the cellular components and processes that carry out and regulate the physical division of a cell into two daughter cells.
-
B.
cellConfinementTime
Indicates the duration for which an entity is confined or held within a cell or enclosed space.
-
C.
dividedDuring
Indicates that one entity was split or separated into parts over the course of a specified time period or event.
-
D.
divisionFrequency
chosen
Indicates how often a division event occurs within a given context or time frame.
-
E.
divergenceTime
Indicates the point in time at which two entities, lineages, or states split from a common origin or began to differ from each other.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.