Triple
T27884256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam canal network |
E705180
|
entity |
| Predicate | numberOfCanalsApproximate |
P199228
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Amsterdam canal network, numberOfCanalsApproximate, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCanalsApproximate Context triple: [Amsterdam canal network, numberOfCanalsApproximate, over 100]
-
A.
hasCanals
Indicates that one entity possesses or contains canals, either as physical waterways or channel-like structures.
-
B.
hasIndustrialCanalFeatures
Indicates that an entity possesses physical or structural characteristics associated with industrial canals, such as engineered waterways, locks, channels, or related infrastructure used for industrial purposes.
-
C.
hasMajorCanal
Indicates that one entity possesses or contains a primary canal or main waterway associated with it.
-
D.
hasBranchCanals
Indicates that an entity possesses or is connected to one or more subsidiary or secondary canals branching off from a main canal.
-
E.
numberOfAqueducts
Indicates the quantity of aqueducts associated with or present in a given entity or context.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
| PDg | Predicate description generation | batch_69ff27b0385c8190bccf340d26268f77 |
completed | May 9, 2026, 12:25 p.m. |
Created at: April 27, 2026, 6:32 p.m.