Triple
T8487143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo Streetcar |
E200858
|
entity |
| Predicate | hasLineConfiguration |
P13644
|
FINISHED |
| Object | loop line |
—
|
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: loop line | Statement: [Sapporo Streetcar, hasLineConfiguration, loop line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLineConfiguration Context triple: [Sapporo Streetcar, hasLineConfiguration, loop line]
-
A.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
B.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
C.
hasLineCharacter
Indicates that one entity possesses or includes a specific character or symbol that appears within a line of text or sequence.
-
D.
hasLineGroup
Indicates that one entity is associated with, or belongs to, a particular group or collection of lines.
-
E.
hasLineLength
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.