Triple
T3357146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signy Research Station |
E70631
|
entity |
| Predicate | closedForWinter |
P38722
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Signy Research Station, closedForWinter, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForWinter Context triple: [Signy Research Station, closedForWinter, 1996]
-
A.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
B.
closedSeason
Indicates that a period of time is designated during which a particular activity (such as hunting, fishing, or harvesting) is legally prohibited or restricted.
-
C.
winterStatus
chosen
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
D.
closedVenue
Indicates that a venue is not open or available for use during a given time or event.
-
E.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb244435c81908e35d2aa36ec4f46 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.