Triple
T28925092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeannette Arctic expedition |
E733618
|
entity |
| Predicate | becameTrappedIn |
P114541
|
FINISHED |
| Object | pack ice |
—
|
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: pack ice | Statement: [Jeannette Arctic expedition, becameTrappedIn, pack ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameTrappedIn Context triple: [Jeannette Arctic expedition, becameTrappedIn, pack ice]
-
A.
trappedIn
chosen
Indicates that one entity is confined or caught within another entity or bounded space, unable to leave freely.
-
B.
trappedDuring
Indicates that one entity is confined, caught, or immobilized while a specified event or situation is occurring.
-
C.
trappedFor
Indicates that one entity is confined or held captive by another entity or within a particular situation for a period of time.
-
D.
wasTrappedUndergroundFor
Indicates that an entity was confined beneath the ground for a specified duration or period.
-
E.
numberOfPeopleTrapped
Indicates the count of individuals who are currently trapped in a given situation or location.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 8:23 a.m.