Triple
T35381661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephemeroptera |
E1022663
|
entity |
| Predicate | approximateFamilyCount |
P31487
|
FINISHED |
| Object | about 40 families |
—
|
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: about 40 families | Statement: [Ephemeroptera, approximateFamilyCount, about 40 families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateFamilyCount Context triple: [Ephemeroptera, approximateFamilyCount, about 40 families]
-
A.
numberOfFamilies
chosen
Indicates the total count of distinct family units associated with a given entity or context.
-
B.
approximationFamily
Indicates a relationship where one entity serves as an approximation or approximate representation of another within a defined family or set of approximations.
-
C.
hasApproximateNumberOfSurnames
Indicates that an entity is associated with an estimated or approximate count of surnames rather than an exact number.
-
D.
approximateFolioCount
Indicates an estimated or rough number of folios associated with an entity, rather than an exact counted total.
-
E.
hasApproximateCountInHumans
Indicates that an entity is associated with an estimated or approximate numerical count specifically in humans.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
Created at: May 3, 2026, 4:03 p.m.