Triple
T36581592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auckland Islands Motu Maha Marine Reserve |
E902409
|
entity |
| Predicate | isAround |
P17801
|
FINISHED |
| Object | Auckland Island |
—
|
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: Auckland Island | Statement: [Auckland Islands Motu Maha Marine Reserve, isAround, Auckland Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAround Context triple: [Auckland Islands Motu Maha Marine Reserve, isAround, Auckland Island]
-
A.
around
chosen
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
B.
isCloseTo
Indicates that one entity is physically or conceptually near another, within a relatively short distance or range.
-
C.
isOftenLocatedAround
Indicates that one entity is frequently found in the vicinity of, or surrounding, another entity.
-
D.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
E.
isAt
Indicates that one entity is located at or present in the place or position of another entity.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.