Triple
T36721343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manley Hot Springs, Alaska |
E907067
|
entity |
| Predicate | hasSeasonalChallenge |
P2189
|
FINISHED |
| Object | extreme winter cold |
—
|
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: extreme winter cold | Statement: [Manley Hot Springs, Alaska, hasSeasonalChallenge, extreme winter cold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonalChallenge Context triple: [Manley Hot Springs, Alaska, hasSeasonalChallenge, extreme winter cold]
-
A.
hasSeasonalObjective
Indicates that an entity is associated with a specific objective or goal that is only relevant or active during a particular season or time period.
-
B.
hasSeasonalRound
Indicates a recurring, seasonally patterned cycle of movements, activities, or resource use associated with an entity over the course of a year.
-
C.
hasSeasonTheme
Indicates that something is associated with or characterized by a particular seasonal theme.
-
D.
regularlyChallengesFor
Indicates a recurring pattern in which one entity challenges another entity for something, such as a position, resource, or status.
-
E.
hasChallenge
chosen
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0062e6bd788190a7b4f3e5befb5cbb |
completed | May 10, 2026, 10:50 a.m. |
| PD | Predicate disambiguation | batch_6a0061989d188190b4815b2de3e8676f |
completed | May 10, 2026, 10:44 a.m. |
Created at: May 3, 2026, 4:12 p.m.