Triple
T26692743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port George VI Island |
E672931
|
entity |
| Predicate | hasAerodrome |
P2882
|
FINISHED |
| Object | Port George VI Island Aerodrome |
—
|
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: Port George VI Island Aerodrome | Statement: [Port George VI Island, hasAerodrome, Port George VI Island Aerodrome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAerodrome Context triple: [Port George VI Island, hasAerodrome, Port George VI Island Aerodrome]
-
A.
containsAirfield
chosen
Indicates that a location or area includes at least one airfield within its boundaries.
-
B.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
C.
hasHeliport
Indicates that an entity possesses or is equipped with a heliport facility for helicopter landing and takeoff.
-
D.
hasAirportAccessTo
Indicates that one location or entity has direct access to another via an airport connection or service.
-
E.
hasAirfieldType
Indicates that an airfield is classified as having a particular type or category of airfield.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6174310d48190b1ef1e515fed7990 |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:27 a.m.