Triple
T7882876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River des Peres (channelized section) |
E183024
|
entity |
| Predicate | hasLiningMaterial |
P79547
|
FINISHED |
| Object | concrete |
—
|
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: concrete | Statement: [River des Peres (channelized section), hasLiningMaterial, concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiningMaterial Context triple: [River des Peres (channelized section), hasLiningMaterial, concrete]
-
A.
mantlingLined
Indicates that the inner surface of a heraldic mantling is lined with a specified material, color, or pattern.
-
B.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
textileType
Indicates the specific kind or category of textile material associated with an entity.
-
E.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
- 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_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. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:58 p.m.