Triple
T2708212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikini Atoll |
E59794
|
entity |
| Predicate | hasLagoonArea |
P26293
|
FINISHED |
| Object | about 600 square kilometers |
—
|
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: about 600 square kilometers | Statement: [Bikini Atoll, hasLagoonArea, about 600 square kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLagoonArea Context triple: [Bikini Atoll, hasLagoonArea, about 600 square kilometers]
-
A.
hasLagoon
Indicates that one entity possesses, contains, or is characterized by a lagoon in relation to another entity or location.
-
B.
lagoonArea
chosen
Indicates the total surface area covered by a lagoon.
-
C.
hasWaterfrontArea
Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
-
D.
lagoonType
Indicates the specific kind or classification of a lagoon associated with an entity.
-
E.
hasNearbyLake
Indicates that one entity is located close to or in the vicinity of a lake.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda73de1c81908f5d6b0383e23144 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.