Triple
T25537267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murex brandaris |
E640077
|
entity |
| Predicate | maximumShellLength |
P162589
|
FINISHED |
| Object | approximately 10 cm |
—
|
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: approximately 10 cm | Statement: [Murex brandaris, maximumShellLength, approximately 10 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumShellLength Context triple: [Murex brandaris, maximumShellLength, approximately 10 cm]
-
A.
maximumCarapaceLength
Indicates the greatest measured length of an organism’s carapace within the described context or dataset.
-
B.
maximumCarapaceWidth
Indicates the greatest measured width of an organism’s carapace within a given context or dataset.
-
C.
carapaceLengthMax
Indicates the maximum recorded or allowed length of an organism’s carapace in a given context.
-
D.
maximumVesselLength
Indicates the greatest allowable or observed length of a vessel in a given context or constraint.
-
E.
maximumAdultLength
Indicates the greatest length an organism or entity can reach at full adult size.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 21, 2026, 3:23 p.m.