Triple
T9826958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont du Carrousel |
E238679
|
entity |
| Predicate | riverKilometre |
P56863
|
FINISHED |
| Object | approximately 0 km marker of central Paris Seine section |
—
|
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: approximately 0 km marker of central Paris Seine section | Statement: [Pont du Carrousel, riverKilometre, approximately 0 km marker of central Paris Seine section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverKilometre Context triple: [Pont du Carrousel, riverKilometre, approximately 0 km marker of central Paris Seine section]
-
A.
riverKilometerContext
chosen
Indicates the position or context of something along a river, measured in river kilometers from a defined reference point.
-
B.
waterwayLengthKilometres
Indicates the total length of a waterway, measured in kilometres.
-
C.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
D.
riverLocation
Indicates that a river is located in, passes through, or is geographically associated with a specified place or region.
-
E.
navigableLengthApproxKm
Indicates the approximate distance, measured in kilometers, over which something (typically a waterway) can be navigated.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb324e7848190b9424a78ca653afe |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:32 p.m.