Triple
T36346043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Seine à Pont-de-l'Arche |
E895066
|
entity |
| Predicate | mainRiverDepicted |
P71799
|
FINISHED |
| Object | Seine River |
—
|
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: Seine River | Statement: [La Seine à Pont-de-l'Arche, mainRiverDepicted, Seine River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRiverDepicted Context triple: [La Seine à Pont-de-l'Arche, mainRiverDepicted, Seine River]
-
A.
majorPortOnRiver
Indicates that a port is a primary or significant harbor facility located on the banks of a specified river.
-
B.
riverMentioned
Indicates that a river is referenced or discussed in the given context or data.
-
C.
raceRiver
Indicates that an entity participates in a race that takes place on or along a river.
-
D.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
E.
mainRiverAssociated
chosen
Indicates that one entity is associated with, or primarily linked to, a particular main river.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.