Triple
T3744602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic right whale |
E79779
|
entity |
| Predicate | knownCalvingArea |
P14801
|
FINISHED |
| Object | coastal waters off the southeastern United States |
—
|
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: coastal waters off the southeastern United States | Statement: [North Atlantic right whale, knownCalvingArea, coastal waters off the southeastern United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownCalvingArea Context triple: [North Atlantic right whale, knownCalvingArea, coastal waters off the southeastern United States]
-
A.
calvingGrounds
chosen
Indicates areas where animals, typically large mammals, go to give birth and rear their newborns.
-
B.
drainageBasinArea
Indicates the total surface area of land from which precipitation and runoff drain into a particular water body or watershed.
-
C.
hasMeltwaterContributionTo
Indicates that one entity contributes meltwater (from melting ice or snow) to another entity, such as a water body or hydrological system.
-
D.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
-
E.
lakeArea
Indicates the surface area measurement 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb58c9048190a055d1f4a7e6b699 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.