Triple
T38496099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flinders Bay |
E919696
|
entity |
| Predicate | nearHeadland |
P139523
|
FINISHED |
| Object | Cape Leeuwin |
—
|
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: Cape Leeuwin | Statement: [Flinders Bay, nearHeadland, Cape Leeuwin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearHeadland Context triple: [Flinders Bay, nearHeadland, Cape Leeuwin]
-
A.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
B.
nearestHut
Indicates that one hut is the closest in distance to a given reference point or entity compared to all other huts.
-
C.
nearSiteOf
chosen
Indicates that one entity is located in close physical proximity to the site or location associated with another entity.
-
D.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
E.
nearBorderDirection
Indicates that one entity is located close to a border or boundary in a specified directional orientation relative to that border.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.