Triple
T36261533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papua New Guinea Time |
E892099
|
entity |
| Predicate | appliesToMainIsland |
P38098
|
FINISHED |
| Object | New Guinea (Papua New Guinea portion) |
—
|
NE NERFINISHED |
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: New Guinea (Papua New Guinea portion) | Statement: [Papua New Guinea Time, appliesToMainIsland, New Guinea (Papua New Guinea portion)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToMainIsland Context triple: [Papua New Guinea Time, appliesToMainIsland, New Guinea (Papua New Guinea portion)]
-
A.
isMainIsland
Indicates that an island is the primary or most significant island within a group, region, or country.
-
B.
observedOnMainIsland
chosen
Indicates that the observation or occurrence of something took place specifically on the main island, as opposed to surrounding or subsidiary islands.
-
C.
oneOfMainIslands
Indicates that the subject entity is one of the primary or principal islands within a specified group or region.
-
D.
appliesToMainland
Indicates that something is relevant or applicable specifically to the mainland portion of a territory, excluding its islands or overseas areas.
-
E.
hasNearbyMainIsland
Indicates that one entity has a main island located in close geographic proximity to it.
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:09 p.m.