Triple
T2810596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jellyfish Lake |
E54157
|
entity |
| Predicate | hasJellyfishPopulation |
P43728
|
FINISHED |
| Object | once estimated in the millions |
—
|
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: once estimated in the millions | Statement: [Jellyfish Lake, hasJellyfishPopulation, once estimated in the millions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJellyfishPopulation Context triple: [Jellyfish Lake, hasJellyfishPopulation, once estimated in the millions]
-
A.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
B.
hasMarineEcosystem
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
C.
hasBioluminescentBay
Indicates that a location possesses a bay where the water naturally emits visible light due to bioluminescent organisms.
-
D.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
-
E.
hasAquariumType
Indicates that an entity is associated with, or classified by, a specific type or category of aquarium.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde335b38819090c70d5e2ca14d79 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:59 p.m.