Triple
T17477181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opiliones |
E425569
|
entity |
| Predicate | differenceFromSpiders |
P61682
|
FINISHED |
| Object | lack of silk production |
—
|
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: lack of silk production | Statement: [Opiliones, differenceFromSpiders, lack of silk production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromSpiders Context triple: [Opiliones, differenceFromSpiders, lack of silk production]
-
A.
differenceFromStrigidae
Indicates a relationship where one entity is characterized specifically by how it differs from members of the Strigidae family.
-
B.
differenceFromCaduceus
Indicates the way in which something differs from or deviates from the caduceus.
-
C.
differIn
chosen
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
D.
differenceDescription
Indicates a textual explanation that characterizes how two entities differ from each other.
-
E.
numberOfSerpents
Indicates the quantity or count of serpents associated with a given entity or context.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bc3f908190b2c7a2d1f75a43f2 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.