Triple
T16520580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglona |
E401306
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Perfugas |
E423881
|
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: Perfugas | Statement: [Anglona, hasSettlement, Perfugas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfugas Context triple: [Anglona, hasSettlement, Perfugas]
-
A.
Perfugas
chosen
Perfugas is a small town and comune in the northern Sardinian region of Italy, known for its archaeological sites and Nuragic-era remains.
-
B.
Formiae
Formiae was an ancient coastal town in Latium, Italy, known as a Roman resort and historically noted as the place where Cicero was killed.
-
C.
Delice Böcek
Delice Böcek is a notable poetic work by the renowned Turkish poet Fazıl Hüsnü Dağlarca.
-
D.
Blepyrus
Blepyrus is a comic character in Aristophanes’ play *Ecclesiazusae*, typically portrayed as a bemused Athenian husband caught up in the play’s satirical treatment of gender and political reform.
-
E.
Proformica
Proformica is a genus of ants within the subfamily Formicinae, known for inhabiting arid and semi-arid regions in parts of Europe and Asia.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006088fe4881909e5b691743157700 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.