Triple
T7835389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Resort Line |
E181677
|
entity |
| Predicate | loopLine |
P79283
|
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: [Disney Resort Line, loopLine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loopLine Context triple: [Disney Resort Line, loopLine, true]
-
A.
lineUse
Indicates how a particular line (such as a route, track, or service line) is utilized or purposed within a system or network.
-
B.
definedLine
Indicates that a specific line (such as a boundary, path, or reference line) has been formally established or specified within a given context.
-
C.
lineElement
Indicates a relationship where something functions as, or is identified as, an element or segment of a line within a larger linear structure or representation.
-
D.
loopType
Indicates the specific kind or category of loop structure or iteration pattern used in a process or control flow.
-
E.
connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064b872081908e269f4fe1b85436 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:46 p.m.