Triple
T10050086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DATA command |
E207722
|
entity |
| Predicate | hasPhaseName |
P52575
|
FINISHED |
| Object | DATA phase |
—
|
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: DATA phase | Statement: [DATA command, hasPhaseName, DATA phase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhaseName Context triple: [DATA command, hasPhaseName, DATA phase]
-
A.
codeNameOfPhase
chosen
Indicates that an entity is assigned a specific code name corresponding to a particular phase in a process or lifecycle.
-
B.
hasPhaseRelation
Indicates that two entities are related by a specific phase difference or phase alignment in time or a cyclical process.
-
C.
hasMultiplePhases
Indicates that the related process, event, or activity occurs in more than one distinct phase or stage.
-
D.
hasEarlierPhase
Indicates that one phase occurs before another phase in a process or sequence.
-
E.
hasChronologicalPhase
Indicates that something is associated with, or occurs during, a specific chronological phase or time period in a sequence of development or events.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8e41c4819091fa12742197e207 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.