Triple
T26104752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonald Islands |
E658505
|
entity |
| Predicate | distanceToHeardIsland |
P194597
|
FINISHED |
| Object | about 44 km west of Heard Island |
—
|
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: about 44 km west of Heard Island | Statement: [McDonald Islands, distanceToHeardIsland, about 44 km west of Heard Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHeardIsland Context triple: [McDonald Islands, distanceToHeardIsland, about 44 km west of Heard Island]
-
A.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
B.
distanceToPitcairnIsland_km
Indicates the distance, measured in kilometers, between a given location and Pitcairn Island.
-
C.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
-
D.
distanceToLordHoweIsland_km
Indicates the distance, measured in kilometers, between an entity and Lord Howe Island.
-
E.
distanceFromAntarcticMainland
Indicates the measured spatial separation between a location or object and the nearest point on the Antarctic mainland.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 26, 2026, 7:57 p.m.