Triple
T18940315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neglinnaya River |
E463362
|
entity |
| Predicate | tunnelConstructionReason |
P133881
|
FINISHED |
| Object | flood control |
—
|
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: flood control | Statement: [Neglinnaya River, tunnelConstructionReason, flood control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelConstructionReason Context triple: [Neglinnaya River, tunnelConstructionReason, flood control]
-
A.
tunnelDugBy
Indicates that a tunnel was created or excavated by a particular agent or entity.
-
B.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
C.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
D.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
E.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eae9b88190b6031c359090782a |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.