Triple
T12514614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | paste |
E299163
|
entity |
| Predicate | unequalLineCountsBehavior |
P105370
|
FINISHED |
| Object | missing fields are treated as empty strings |
—
|
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: missing fields are treated as empty strings | Statement: [paste, unequalLineCountsBehavior, missing fields are treated as empty strings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unequalLineCountsBehavior Context triple: [paste, unequalLineCountsBehavior, missing fields are treated as empty strings]
-
A.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
B.
usesLineFolding
Indicates that an entity applies line folding, breaking long lines into shorter ones according to specific rules or constraints.
-
C.
doesNotInterlineWith
Indicates that two elements, such as routes or services, do not share a common segment or coordinated connection for through-service or transfer.
-
D.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
E.
hasNumberOfLines
Indicates the relationship that specifies how many lines are associated with a given 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_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.