Triple
T6087774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medo |
E135682
|
entity |
| Predicate | hasForm |
P169
|
FINISHED |
| Object | Medo |
E135682
|
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: Medo | Statement: [Medo, hasForm, Medo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medo Context triple: [Medo, hasForm, Medo]
-
A.
Medo
chosen
Medo is a common affectionate nickname often used for people named Ahmed, particularly in Arabic-speaking communities.
-
B.
Jurata
Jurata is a seaside resort village in northern Poland, known for its sandy beaches and location on the Hel Peninsula along the Baltic Sea.
-
C.
Atossa
Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
-
D.
Shosha
Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
-
E.
Gwandara
Gwandara are an ethnic group in central Nigeria known for their distinct language and cultural traditions, primarily inhabiting parts of Nasarawa and neighboring states.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d65908c8190a9700c0981dabe9a |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:12 p.m.