Triple
T38471273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balallan |
E915421
|
entity |
| Predicate | hasLinearLayout |
P62938
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Balallan, hasLinearLayout, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinearLayout Context triple: [Balallan, hasLinearLayout, true]
-
A.
hasLayout
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
B.
hasLines
Indicates that one entity contains, is composed of, or is associated with one or more linear elements or line segments.
-
C.
hasLineStructure
chosen
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
D.
hasLineStyle
Indicates that one entity is associated with or uses a particular style or pattern of line representation in relation to another entity.
-
E.
hasNumberOfLines
Indicates the relationship that specifies how many lines are associated with a given 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff2d22ffb48190ae58ddf3c7e02869 |
completed | May 9, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69ff2ac2e1c4819096cc64e94aef2ff0 |
completed | May 9, 2026, 12:38 p.m. |
Created at: May 3, 2026, 4:31 p.m.