Triple
T21091625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIP |
E519651
|
entity |
| Predicate | treatsHopCount16As |
P142805
|
FINISHED |
| Object | unreachable |
—
|
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: unreachable | Statement: [RIP, treatsHopCount16As, unreachable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsHopCount16As Context triple: [RIP, treatsHopCount16As, unreachable]
-
A.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
-
B.
branchCount
Indicates the number of branches associated with a given entity or structure.
-
C.
significantlyShortensRouteBetween
Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
-
D.
lapCountVariant
Indicates a variation or alternative form of a standard lap count used to measure repetitions or circuits in an activity or process.
-
E.
numberOfTunnels
Indicates the quantity of tunnels associated with or passing through a given entity or location.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094f6ebc8190a90b014755a9d4a6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:51 p.m.