Triple
T7295538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian territories |
E164510
|
entity |
| Predicate | includeRemoteIslands |
P75444
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Australian territories, includeRemoteIslands, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includeRemoteIslands Context triple: [Australian territories, includeRemoteIslands, true]
-
A.
servesRemoteIslands
Indicates that an entity provides services or support to islands that are geographically remote or hard to access.
-
B.
includesArchipelago
Indicates that one geographic entity contains or encompasses an archipelago within its area or jurisdiction.
-
C.
usedOnIslands
Indicates that something is utilized or applied specifically on islands.
-
D.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
E.
numberOfIslandsAndReefs
Indicates the count of islands and reefs associated with or contained within a given geographic or administrative entity.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e82b0f9881909d29c99af1ea0dbf |
completed | March 27, 2026, 8:27 p.m. |
Created at: March 27, 2026, 3 p.m.