Triple
T29448116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSeries |
E746904
|
entity |
| Predicate | enteredServiceCS300 |
P173260
|
FINISHED |
| Object | 2016-12-14 |
—
|
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: 2016-12-14 | Statement: [CSeries, enteredServiceCS300, 2016-12-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredServiceCS300 Context triple: [CSeries, enteredServiceCS300, 2016-12-14]
-
A.
enteredServiceAsCS100
Indicates that an entity began operational service specifically in the configuration or role designated as CS100.
-
B.
enteredService
Indicates that an entity began active use or operation at a specific time or in a specific context.
-
C.
enteredServiceAsCSS
Indicates that an entity began its operational use or active duty specifically in the role or configuration of a CSS (e.g., as a Confederate States Ship).
-
D.
enteredStud
Indicates that a student has enrolled in or begun attending a particular course, program, or institution.
-
E.
enteredServiceWithUnit
Indicates that an entity began its period of service or active duty while assigned to a specified unit.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 28, 2026, 3:29 p.m.