Triple
T4167665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Blizzard of 1888 rescue operations |
E84482
|
entity |
| Predicate | operationalChallenge |
P54463
|
FINISHED |
| Object | deep snowdrifts |
—
|
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: deep snowdrifts | Statement: [Great Blizzard of 1888 rescue operations, operationalChallenge, deep snowdrifts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalChallenge Context triple: [Great Blizzard of 1888 rescue operations, operationalChallenge, deep snowdrifts]
-
A.
developmentChallenges
Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
-
B.
operation
Indicates that one entity performs, carries out, or controls the functioning of another entity or system.
-
C.
operationalCommand
Indicates that one entity issues or holds authoritative control over the actions or operations of another entity.
-
D.
challengeType
Indicates the specific category or kind of challenge associated with an action or relationship between entities.
-
E.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c43a7481909eed7cb8c14deb0c |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af01ee94ec8190aa6dde54d4571c04 |
completed | March 9, 2026, 5:22 p.m. |
Created at: March 9, 2026, 3:44 p.m.