Triple
T12514613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | paste |
E299163
|
entity |
| Predicate | handlesUnequalLineCounts |
P105369
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [paste, handlesUnequalLineCounts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesUnequalLineCounts Context triple: [paste, handlesUnequalLineCounts, yes]
-
A.
lineTerminatedBeyond
Indicates that a line or linear feature ends at a point located beyond a specified reference boundary or limit.
-
B.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
C.
hasNumberOfLines
Indicates the relationship that specifies how many lines are associated with a given entity.
-
D.
hasLineLength
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
-
E.
loopLine
Indicates that a line or path forms a closed loop, returning to its starting point without interruption.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.