Triple
T21782112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scleroglossa |
E537737
|
entity |
| Predicate | includesTaxon |
P1393
|
FINISHED |
| Object | Serpentes |
—
|
NE NERFINISHED |
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: Serpentes | Statement: [Scleroglossa, includesTaxon, Serpentes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serpentes Context triple: [Scleroglossa, includesTaxon, Serpentes]
-
A.
Serpentes
chosen
Serpentes is the suborder of legless, elongated reptiles commonly known as snakes, encompassing a diverse group of carnivorous species found worldwide.
-
B.
Schlangen
Schlangen is a small municipality in the Lippe district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the Teutoburg Forest.
-
C.
Serpenti
Serpenti is Bulgari’s iconic snake-inspired jewelry and watch collection, renowned for its coiling designs and luxurious, glamorous aesthetic.
-
D.
Lagarto
Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
-
E.
Snakes
"Snakes" is a track by the Wu-Tang Clan featuring Ol' Dirty Bastard, known for its gritty lyrics and raw, aggressive delivery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462db0208190ad31c132d3f875bc |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.