Triple
T35404734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCR |
E1023334
|
entity |
| Predicate | successorSystemIncludes |
P201694
|
FINISHED |
| Object | Online Representations and Certifications Application |
—
|
NE NERFINISHED |
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: Online Representations and Certifications Application | Statement: [CCR, successorSystemIncludes, Online Representations and Certifications Application]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorSystemIncludes Context triple: [CCR, successorSystemIncludes, Online Representations and Certifications Application]
-
A.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
B.
successorCategoryIncludes
Indicates that a later or replacement category encompasses or contains the items, members, or scope of an earlier category.
-
C.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
-
D.
successorModel
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
E.
successorSeries
Indicates that one series directly follows another in sequence, continuing or extending it as its successor.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a001540d4f881908a4688881875e774 |
completed | May 10, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_6a0014a8cdd88190a67a90a2df2c5e18 |
completed | May 10, 2026, 5:16 a.m. |
| PDg | Predicate description generation | batch_6a00153fea20819086ff5888bf725d05 |
completed | May 10, 2026, 5:18 a.m. |
Created at: May 3, 2026, 4:03 p.m.