Triple
T35415185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zygentoma |
E1023620
|
entity |
| Predicate | tailAppendages |
P63385
|
FINISHED |
| Object | two cerci and one median filament |
—
|
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: two cerci and one median filament | Statement: [Zygentoma, tailAppendages, two cerci and one median filament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailAppendages Context triple: [Zygentoma, tailAppendages, two cerci and one median filament]
-
A.
appendages
Indicates that one entity has limbs or projecting body parts that are attached to another entity.
-
B.
tailCharacteristic
chosen
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
C.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
D.
hasTailFins
Indicates that an entity possesses tail fins as a physical feature or component.
-
E.
hasMechanicalAppendages
Indicates that an entity possesses one or more appendages that are mechanical or artificially constructed rather than purely biological.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7956b1d80819081655f683ce78d5b |
completed | May 3, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.