Triple
T11955004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ampato |
E284527
|
entity |
| Predicate | JuanitaPreservationCause |
P102454
|
FINISHED |
| Object | freezing conditions on the summit |
—
|
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: freezing conditions on the summit | Statement: [Ampato, JuanitaPreservationCause, freezing conditions on the summit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JuanitaPreservationCause Context triple: [Ampato, JuanitaPreservationCause, freezing conditions on the summit]
-
A.
jurisdictionRepresented
Indicates that one entity acts on behalf of, or serves as the official representative for, a particular legal or administrative jurisdiction.
-
B.
counselForUnitedStates
Indicates that an entity serves as legal counsel representing the United States in a legal or official capacity.
-
C.
legalHistory
Indicates that there exists a record of past legal actions, cases, or statuses associated with an entity.
-
D.
judiciaryAct
Indicates that an entity is involved in, established by, or otherwise directly related to a specific judiciary act or piece of judicial legislation.
-
E.
landmarkCase
Indicates that a legal case is historically significant or precedent-setting within a legal system.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.