Triple
T19614564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ainos |
E470824
|
entity |
| Predicate | contestedBy |
P2693
|
FINISHED |
| Object | Genoese |
—
|
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: Genoese | Statement: [Ainos, contestedBy, Genoese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genoese Context triple: [Ainos, contestedBy, Genoese]
-
A.
Genoese Italian
Genoese Italian is a regional variety of the Italian language spoken in and around the city of Genoa in Liguria, known for its distinct phonology and vocabulary.
-
B.
Genoese dialect
The Genoese dialect is a prominent variety of the Ligurian language traditionally spoken in the city of Genoa and its surrounding areas in northwestern Italy.
-
C.
Genoese people
chosen
The Genoese people are an Italian ethnic group from the city and region of Genoa in Liguria, historically renowned as maritime traders and influential participants in Mediterranean commerce and culture.
-
D.
Venetian
Venetian is a 2007 novel by Danish author Eva-Marie Liffner that blends historical mystery and atmospheric storytelling set against the backdrop of Venice.
-
E.
Venetian
Venetian refers to the style, culture, and aesthetic associated with Venice, Italy, often evoking its canals, architecture, and romantic ambiance.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ce272481909688527f72d2c976 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.