Triple
T15822953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia |
E383656
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Sofi |
E937286
|
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: Sofi | Statement: [Sophia, hasDiminutive, Sofi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofi Context triple: [Sophia, hasDiminutive, Sofi]
-
A.
Sofi
chosen
Sofi is a feminine given name used in various cultures, often as a variant of "Sophie" or "Sophia."
-
B.
Anela
Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
-
C.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
-
D.
Alessia
Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
-
E.
Vinka
Vinka is a Finnish military training aircraft developed by Valmet for basic pilot instruction.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a96b848190845cf547034a24f2 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999bba548190a39adc2d0e11c605 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.