Triple
T8310106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arpinum |
E194569
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sora |
E339644
|
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: Sora | Statement: [Arpinum, locatedNear, Sora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sora Context triple: [Arpinum, locatedNear, Sora]
-
A.
Sora
chosen
Sora is a historic town and comune in the Lazio region of central Italy, situated along the Liri River and known for its medieval architecture and scenic surroundings.
-
B.
Duke of Sora
The Duke of Sora was a noble title in the Kingdom of Naples historically associated with the influential Italian della Rovere family.
-
C.
Roxas
Roxas is a Filipino surname most prominently associated with Manuel Roxas, the fifth President of the Philippines and the first leader of the independent Third Republic.
-
D.
Roxas
Roxas is a coastal municipality in the Philippine province of Palawan known for its fishing industry and access to nearby island and marine attractions.
-
E.
Ness
Ness is a remote crofting and fishing community at the northern tip of the Isle of Lewis in Scotland’s Outer Hebrides.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95665390819089c8becad018cf51 |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:54 p.m.