Triple
T31948017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristian's algorithm |
E815702
|
entity |
| Predicate | timeModel |
P25625
|
FINISHED |
| Object | synchronous approximation of message delays |
—
|
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: synchronous approximation of message delays | Statement: [Cristian's algorithm, timeModel, synchronous approximation of message delays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeModel Context triple: [Cristian's algorithm, timeModel, synchronous approximation of message delays]
-
A.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
B.
timeProperty
Indicates that one entity specifies, constrains, or characterizes a temporal aspect or timing-related attribute of another entity.
-
C.
timeStructure
chosen
Indicates that one entity defines, constrains, or organizes the temporal framework or schedule within which another entity exists or operates.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b27b51c88190b56dc3f22f934aff |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:07 a.m.