Triple
T22935143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Ecoregions of the World |
E569558
|
entity |
| Predicate | definesRealmAs |
P150313
|
FINISHED |
| Object | large-scale biogeographic division of the oceans |
—
|
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-scale biogeographic division of the oceans | Statement: [Marine Ecoregions of the World, definesRealmAs, large-scale biogeographic division of the oceans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesRealmAs Context triple: [Marine Ecoregions of the World, definesRealmAs, large-scale biogeographic division of the oceans]
-
A.
includesRealm
Indicates that one entity encompasses or contains a particular realm as part of its scope or domain.
-
B.
residesInRealm
Indicates that an entity lives or exists within a particular realm or domain.
-
C.
realmName
Indicates the designated name or title assigned to a particular realm or domain.
-
D.
associatedWithRealm
Indicates a relationship where an entity is linked or connected to a particular realm, domain, or sphere of influence.
-
E.
birthRealm
Indicates the realm, world, or plane in which an entity was born.
- F. None of above. chosen
Provenance (4 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:44 p.m.