Triple
T10754803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen tramway |
E253661
|
entity |
| Predicate | previousModeReplaced |
P18379
|
FINISHED |
| Object | trolleybus network |
—
|
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: trolleybus network | Statement: [Rouen tramway, previousModeReplaced, trolleybus network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousModeReplaced Context triple: [Rouen tramway, previousModeReplaced, trolleybus network]
-
A.
previousMode
chosen
Indicates that one mode directly precedes another in a sequence or state transition.
-
B.
previouslyReplacedRegime
Indicates that one regime had earlier been replaced by another regime in the past.
-
C.
originalMode
Indicates that something preserves, reflects, or is associated with its initial or default mode of operation or state.
-
D.
oftenReplacedBy
Indicates that one entity is frequently substituted or superseded by another in similar contexts or uses.
-
E.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9d0f688190a9be024929d2f960 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.