Triple
T2202019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Baker |
E50510
|
entity |
| Predicate | testNumberInSeries |
P22578
|
FINISHED |
| Object | second |
—
|
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: second | Statement: [Test Baker, testNumberInSeries, second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testNumberInSeries Context triple: [Test Baker, testNumberInSeries, second]
-
A.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
B.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
C.
isNumbered
chosen
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
E.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa1b41c8190b0f7467d0dcdfbcd |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.