Triple
T15471980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris road network |
E376683
|
entity |
| Predicate | hasMajorAxis |
P25400
|
FINISHED |
| Object | east–west |
—
|
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: east–west | Statement: [Paris road network, hasMajorAxis, east–west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorAxis Context triple: [Paris road network, hasMajorAxis, east–west]
-
A.
isMajorAxisFor
chosen
Indicates that something serves as the primary or longest axis that defines the main directional or structural orientation of another object or system.
-
B.
hasMinorAxisLength
Indicates the length of the shorter (minor) axis of an ellipse or elliptical shape associated with an entity.
-
C.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
-
D.
hasIntermediateAxisLength
Indicates that an entity is associated with a specific value representing the length of its intermediate (middle-sized) axis.
-
E.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:33 a.m.