Triple
T5334685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Cyr-l’École, Kingdom of France |
E123797
|
entity |
| Predicate | transportContextLater |
P50154
|
FINISHED |
| Object | on routes connecting Paris and Versailles |
—
|
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: on routes connecting Paris and Versailles | Statement: [Saint-Cyr-l’École, Kingdom of France, transportContextLater, on routes connecting Paris and Versailles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportContextLater Context triple: [Saint-Cyr-l’École, Kingdom of France, transportContextLater, on routes connecting Paris and Versailles]
-
A.
transportInterface
Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
-
B.
transportConnectionTo
Indicates a relationship where one entity provides or participates in a means of transportation that connects or leads to another entity.
-
C.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
-
D.
hasTransportationContext
chosen
Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
-
E.
transportedAfter
Indicates that one entity is transported only after the transportation of another entity has occurred in time.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ae52c08190968a5567b7e6b794 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.