Triple
T7000008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sió Canal |
E162311
|
entity |
| Predicate | hasEngineeringStructure |
P62261
|
FINISHED |
| Object | sluices |
—
|
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: sluices | Statement: [Sió Canal, hasEngineeringStructure, sluices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEngineeringStructure Context triple: [Sió Canal, hasEngineeringStructure, sluices]
-
A.
isEngineeredStructure
chosen
Indicates that something is a man-made or artificially constructed structure, typically designed and built through engineering processes.
-
B.
hasEngineeringBy
Indicates that something is designed, planned, or constructed by a specified engineer or engineering entity.
-
C.
hasStructuralEngineer
Indicates that an entity is associated with or employs a structural engineer responsible for its structural design, analysis, or integrity.
-
D.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
E.
hasBridgeOrStructure
Indicates that there exists a bridge or similar structural connection between the related entities.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0e54c88190b092870f2d128510 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.