Triple
T22114834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altri canti di Marte |
E546510
|
entity |
| Predicate | textSource |
P4593
|
FINISHED |
| Object | Lira |
—
|
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: Lira | Statement: [Altri canti di Marte, textSource, Lira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lira Context triple: [Altri canti di Marte, textSource, Lira]
-
A.
Lira
chosen
Lira is a major town in northern Uganda that serves as an important commercial and administrative center for the surrounding region.
-
B.
Okyar
Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
-
C.
Gediz
Gediz is a town and district in Turkey’s Kütahya Province, known for its thermal springs and location in the country’s Aegean region.
-
D.
Meram
Meram is a central district and municipality of Konya in Turkey, known for its historic neighborhoods, gardens, and cultural heritage.
-
E.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294c5f908190bdb1cce3cbf86d85 |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.