Triple
T13468270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stenogaster |
E311559
|
entity |
| Predicate | hasStinger |
P110493
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Stenogaster, hasStinger, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStinger Context triple: [Stenogaster, hasStinger, true]
-
A.
hasStingingHairs
Indicates that an entity possesses hairs capable of delivering a sting or irritation upon contact.
-
B.
hasCnidocytes
Indicates that an organism possesses cnidocytes, the specialized stinging cells characteristic of cnidarians.
-
C.
hasScutes
Indicates that an entity possesses scutes, meaning it has bony or horny external plates as part of its body covering.
-
D.
hasChelicerae
Indicates that an entity possesses chelicerae, the specialized mouthpart appendages used for feeding or defense in certain arthropods.
-
E.
containsVenomousSpecies
Indicates that the referenced entity includes within it one or more species that are venomous.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.