Triple
T2731686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eubalaena australis |
E60328
|
entity |
| Predicate | feedingAreas |
P41703
|
FINISHED |
| Object | high-latitude subantarctic waters |
—
|
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: high-latitude subantarctic waters | Statement: [Eubalaena australis, feedingAreas, high-latitude subantarctic waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedingAreas Context triple: [Eubalaena australis, feedingAreas, high-latitude subantarctic waters]
-
A.
foodSources
Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
-
B.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
C.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
D.
collectingArea
Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
-
E.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf011548190beb9c3feee7b743f |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.