Triple
T9353140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont Saint-Michel |
E225065
|
entity |
| Predicate | isOnWaterwaySection |
P58979
|
FINISHED |
| Object | Seine through Paris |
—
|
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: Seine through Paris | Statement: [Pont Saint-Michel, isOnWaterwaySection, Seine through Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnWaterwaySection Context triple: [Pont Saint-Michel, isOnWaterwaySection, Seine through Paris]
-
A.
isInWaterwaySystem
Indicates that an entity is part of, contained within, or traverses a particular waterway network or system.
-
B.
isOnWatercourse
chosen
Indicates that one entity is situated directly on, above, or along the path of a watercourse such as a river, stream, or canal.
-
C.
hasWaterwayRole
Indicates that an entity participates in or is associated with a waterway in a specific functional capacity or role.
-
D.
isWaterfrontThoroughfare
Indicates that a thoroughfare (such as a road, street, or path) is located directly along or adjacent to a body of water.
-
E.
isInlandWaterwayCommunity
Indicates that a community is located along or associated with an inland waterway, such as a river, canal, or lake, rather than on open coastal waters.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9515008190b01fbb43d673de2a |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.