Triple
T10631805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Aemilia Scauri |
E250474
|
entity |
| Predicate | startPoint |
P389
|
FINISHED |
| Object | Luni |
E688008
|
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: Luni | Statement: [Via Aemilia Scauri, startPoint, Luni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luni Context triple: [Via Aemilia Scauri, startPoint, Luni]
-
A.
Luni
chosen
Luni is an archaeological site and small town in northwestern Italy, known for the remains of the ancient Roman city of Luna near the Ligurian coast.
-
B.
Luns
Luns is a Dutch surname most notably associated with Joseph Luns, a former Dutch foreign minister and long-serving Secretary General of NATO.
-
C.
Tarëno
Tarëno is an alternative name for the Tiriyó language, a Cariban language spoken by the Tiriyó people in parts of Brazil and Suriname.
-
D.
Lunxhëri
Lunxhëri is a historic subregion of southern Albania known for its traditional stone villages, Orthodox heritage, and scenic mountainous landscapes.
-
E.
Tresana
Tresana is a small municipality in the Tuscany region of central Italy, known for its rural landscape and historic hilltop settlements.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df94dc1c8190b6347eaf35a5acc2 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bb4bbf08190994ea9123c0b2dab |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:01 p.m.