Triple
T32377970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DataRow |
E827338
|
entity |
| Predicate | hasRowState |
P194713
|
FINISHED |
| Object | Added |
—
|
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: Added | Statement: [DataRow, hasRowState, Added]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRowState Context triple: [DataRow, hasRowState, Added]
-
A.
hasRow
Indicates that one entity contains, includes, or is associated with a specific row within a structured arrangement such as a table, grid, or dataset.
-
B.
hasCells
Indicates that an entity contains, is composed of, or is associated with one or more cells.
-
C.
hasBaseState
Indicates that an entity is associated with or derived from a specified fundamental or default state.
-
D.
hasCoreState
Indicates that an entity possesses or is associated with a fundamental or primary state that defines its core condition or behavior.
-
E.
hasNumberOfRows
Indicates the specific count of rows associated with or contained in an entity.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
| PDg | Predicate description generation | batch_69fd82ebe1c081908455fc45b6e45178 |
completed | May 8, 2026, 6:30 a.m. |
Created at: May 1, 2026, 12:51 a.m.