Triple
T9882886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laysan albatross |
E180854
|
entity |
| Predicate | breedsIn |
P19710
|
FINISHED |
| Object | Oahu |
E7228
|
NE 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: Oahu | Statement: [Laysan albatross, breedsIn, Oahu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oahu Context triple: [Laysan albatross, breedsIn, Oahu]
-
A.
Oahu
chosen
Oahu is a major Hawaiian island known for its capital city Honolulu, iconic Waikiki Beach, and significant World War II history.
-
B.
Kauaʻi
Kauaʻi is the northernmost of Hawaii’s main islands, renowned for its lush landscapes, dramatic cliffs, and nickname “the Garden Isle.”
-
C.
Hawaiʻi (island)
Hawaiʻi (island) is the largest and geologically youngest island in the Hawaiian archipelago, known for its active volcanoes, diverse climates, and dramatic volcanic landscapes.
-
D.
Leeward Oahu
Leeward Oahu is the drier, western side of the Hawaiian island of Oahu, known for its residential communities, beaches, and sunny weather.
-
E.
Maui
Maui is a major Hawaiian island renowned for its scenic beaches, volcanic landscapes, and rich native Hawaiian culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb418417c8190b00dea8916a2e102 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaf0afcc81908d263df7651958e2 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:38 p.m.