Triple
T16541915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chironex fleckeri |
E401837
|
entity |
| Predicate | tentacleLength |
P91348
|
FINISHED |
| Object | tentacles can reach several meters |
—
|
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: tentacles can reach several meters | Statement: [Chironex fleckeri, tentacleLength, tentacles can reach several meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tentacleLength Context triple: [Chironex fleckeri, tentacleLength, tentacles can reach several meters]
-
A.
hasTentacles
chosen
Indicates that an entity possesses tentacle-like appendages.
-
B.
carapaceLength
Indicates the measured length of an organism’s carapace from a defined anatomical reference point.
-
C.
tongueLength
Indicates the length of an entity’s tongue, typically as a measurable physical attribute.
-
D.
lionLength
Indicates the length measurement associated with a lion.
-
E.
coneLength
Indicates the length measurement of a cone-shaped structure associated with an entity.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455db6788190b929546050ea2488 |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.