Triple
T17477350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostracoda |
E425573
|
entity |
| Predicate | classRank |
P127607
|
FINISHED |
| Object | Class |
—
|
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: Class | Statement: [Ostracoda, classRank, Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classRank Context triple: [Ostracoda, classRank, Class]
-
A.
attendanceRank
Indicates the relative position or level of an entity in terms of how frequently or consistently it attends compared to others.
-
B.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
C.
formationRank
Indicates the hierarchical position or level an entity holds within a particular formation or organized group.
-
D.
springRank
Indicates a ranking relationship where entities are ordered or positioned relative to each other based on a spring-like or force-directed hierarchy or influence measure.
-
E.
natureOfRank
Indicates the type or character of a rank, specifying what kind of ranking or hierarchical status it represents.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bd865081909b5f84405c40ff14 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.