Triple
T35859712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Ville–Louis Pradel |
E1036910
|
entity |
| Predicate | laterBecameInterchangeWith |
P202493
|
FINISHED |
| Object | Lyon Metro Line C |
—
|
NE NERFINISHED |
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: Lyon Metro Line C | Statement: [Hôtel de Ville–Louis Pradel, laterBecameInterchangeWith, Lyon Metro Line C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBecameInterchangeWith Context triple: [Hôtel de Ville–Louis Pradel, laterBecameInterchangeWith, Lyon Metro Line C]
-
A.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
B.
hasInterchangesWith
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
C.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
D.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
E.
atJunctionOf
Indicates that something is located at or directly connected to the point where two or more paths, roads, or lines meet.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a008ac37dc081908d360574912f40ec |
completed | May 10, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_6a008a67d73881909855ab4cfca3c399 |
completed | May 10, 2026, 1:38 p.m. |
| PDg | Predicate description generation | batch_6a008ac2d0dc8190865ccedb2003d0ed |
completed | May 10, 2026, 1:40 p.m. |
Created at: May 3, 2026, 4:06 p.m.