Triple
T4618963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Teapot |
E100932
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ascella |
E111361
|
NE 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: Ascella | Statement: [the Teapot, hasPart, Ascella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascella Context triple: [the Teapot, hasPart, Ascella]
-
A.
Ascella
chosen
Ascella is a prominent multiple star system in the constellation Sagittarius, known for being one of its brightest and most easily visible stars.
-
B.
Ascrea
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
-
C.
Aspurgus
Aspurgus was an ancient king of the Bosporan Kingdom, a Hellenistic state in the Crimea region, known for founding the Aspurgian dynasty that ruled for centuries.
-
D.
Cenischia
Cenischia is a mountain stream in northwestern Italy that flows through the Cenis Valley before joining the Dora Riparia river.
-
E.
Agelaia
Agelaia is a genus of social wasps in the subfamily Polistinae, known for forming large, often aggressive colonies in the Neotropical region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa95bd6c8190ad33e52b338560a6 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:12 p.m.