Triple
T14733198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisianski Island |
E346131
|
entity |
| Predicate | hasSeabirdColonies |
P57844
|
FINISHED |
| Object | large breeding colonies |
—
|
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: large breeding colonies | Statement: [Lisianski Island, hasSeabirdColonies, large breeding colonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeabirdColonies Context triple: [Lisianski Island, hasSeabirdColonies, large breeding colonies]
-
A.
hasBirdColony
chosen
Indicates that one entity hosts or contains a colony of birds associated with it.
-
B.
hasMarineEcoregion
Indicates that an entity is associated with, or located within, a specific marine ecoregion.
-
C.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
D.
hasMigratoryBirdUse
Indicates that an entity is used, visited, or relied upon by migratory birds, such as for feeding, resting, or breeding during migration.
-
E.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:29 a.m.