Triple
T24639279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beak Island |
E609907
|
entity |
| Predicate | distanceFromAntarcticPeninsula |
P156878
|
FINISHED |
| Object | offshore from Trinity Peninsula |
—
|
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: offshore from Trinity Peninsula | Statement: [Beak Island, distanceFromAntarcticPeninsula, offshore from Trinity Peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAntarcticPeninsula Context triple: [Beak Island, distanceFromAntarcticPeninsula, offshore from Trinity Peninsula]
-
A.
distanceFromAntarcticMainland
Indicates the measured spatial separation between a location or object and the nearest point on the Antarctic mainland.
-
B.
distanceFromMcMurdoStation
Indicates the measured spatial distance between a given location or object and McMurdo Station.
-
C.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
D.
distanceFromUshuaia_km
Indicates the distance, measured in kilometers, between a given entity’s location and Ushuaia.
-
E.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:33 a.m.