Triple
T37662816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Golem |
E937753
|
entity |
| Predicate | leavesTrail |
P3625
|
FINISHED |
| Object | snow layers |
—
|
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: snow layers | Statement: [Snow Golem, leavesTrail, snow layers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavesTrail Context triple: [Snow Golem, leavesTrail, snow layers]
-
A.
trailsBehind
Indicates that one entity follows or moves after another, remaining at a distance behind it in space, time, or progress.
-
B.
hasTrail
chosen
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
C.
leavesCluesFor
Indicates that one entity intentionally or unintentionally provides hints, traces, or evidence that can be used by another entity to discover, understand, or infer something.
-
D.
loopTrail
Indicates that a trail or path forms a closed loop, starting and ending at the same point without backtracking over the same segment.
-
E.
isTrailless
Indicates that something lacks a defined or established trail or path.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.