Triple
T7535339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter I Island |
E178134
|
entity |
| Predicate | distanceFromAntarcticMainland |
P77678
|
FINISHED |
| Object | over 400 km |
—
|
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: over 400 km | Statement: [Peter I Island, distanceFromAntarcticMainland, over 400 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAntarcticMainland Context triple: [Peter I Island, distanceFromAntarcticMainland, over 400 km]
-
A.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
B.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
C.
distanceFromNewZealandMainland_km
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of New Zealand.
-
D.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
-
E.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.