Triple
T5297069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donner Party |
E119880
|
entity |
| Predicate | trappedDuring |
P63872
|
FINISHED |
| Object | winter of 1846–1847 |
—
|
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: winter of 1846–1847 | Statement: [Donner Party, trappedDuring, winter of 1846–1847]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trappedDuring Context triple: [Donner Party, trappedDuring, winter of 1846–1847]
-
A.
capturedDuring
Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
-
B.
collapsedDuring
Indicates that one entity structurally failed or fell down while another specified event or process was occurring.
-
C.
exposedDuring
Indicates that something becomes visible, accessible, or subject to influence specifically within a given time period, event, or contextual interval.
-
D.
tricked
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
-
E.
fledDuring
Indicates that one entity escaped or ran away during the time period or event represented by the other entity.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8e43c4c88190bb72b9bf56c99425 |
completed | March 20, 2026, 6:13 p.m. |
Created at: March 20, 2026, 1:53 p.m.