Triple
T5512766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghiacciaio del Miage |
E144604
|
entity |
| Predicate | hasDebrisOrigin |
P3654
|
FINISHED |
| Object | rockfalls from surrounding slopes |
—
|
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: rockfalls from surrounding slopes | Statement: [Ghiacciaio del Miage, hasDebrisOrigin, rockfalls from surrounding slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDebrisOrigin Context triple: [Ghiacciaio del Miage, hasDebrisOrigin, rockfalls from surrounding slopes]
-
A.
debrisFieldStates
Indicates the various conditions or statuses associated with a particular debris field over time or in a given context.
-
B.
hasOriginIn
chosen
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
C.
hasPerpetratorOrigin
Indicates that the origin or source of a perpetrator (such as their nationality, place of birth, or background) is associated with a particular event, action, or crime.
-
D.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
E.
hasCauseOfDestruction
Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.