Triple
T7882901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River des Peres (channelized section) |
E183024
|
entity |
| Predicate | isConcreteLined |
P10266
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [River des Peres (channelized section), isConcreteLined, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConcreteLined Context triple: [River des Peres (channelized section), isConcreteLined, true]
-
A.
isLinedWith
chosen
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
B.
cementType
Indicates the specific kind or classification of cement associated with an entity.
-
C.
hasSideWalls
Indicates that an object or structure possesses side walls as part of its physical configuration.
-
D.
hasStraightLines
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
-
E.
enclosedInConduits
Indicates that one entity is physically contained or routed within conduit structures provided 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d36574819092d70e24c37952d7 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:58 p.m.