Triple
T16451888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regio IV Samnium |
E399571
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Luceria
Luceria is an ancient town of southern Italy, historically significant in the region of Samnium and known for its strategic and military importance in Roman times.
|
E1217603
|
NE FINISHED |
How this triple was built (4 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: Luceria | Statement: [Regio IV Samnium, contains, Luceria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luceria Context triple: [Regio IV Samnium, contains, Luceria]
-
A.
Mascalucia
Mascalucia is a town and comune on the slopes of Mount Etna in Sicily, Italy, known as a residential suburb of the nearby city of Catania.
-
B.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
C.
Leporano
Leporano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches, archaeological sites, and historic tower.
-
D.
Carassai
Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
-
E.
Cittaducale
Cittaducale is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and scenic setting near the Apennine Mountains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luceria Triple: [Regio IV Samnium, contains, Luceria]
Generated description
Luceria is an ancient town of southern Italy, historically significant in the region of Samnium and known for its strategic and military importance in Roman times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luceria Target entity description: Luceria is an ancient town of southern Italy, historically significant in the region of Samnium and known for its strategic and military importance in Roman times.
-
A.
Mascalucia
Mascalucia is a town and comune on the slopes of Mount Etna in Sicily, Italy, known as a residential suburb of the nearby city of Catania.
-
B.
Quarracino
Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
-
C.
Leporano
Leporano is a coastal town and comune in the Apulia region of southern Italy, known for its beaches, archaeological sites, and historic tower.
-
D.
Carassai
Carassai is a small historic hill town in Italy’s Marche region, known for its medieval architecture and scenic countryside setting.
-
E.
Cittaducale
Cittaducale is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and scenic setting near the Apennine Mountains.
- F. None of above. chosen
Provenance (5 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce19344819083d323077b742bc3 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060746c308190b67ff7c4646e10de |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00614185008190bf4abe2443222225 |
completed | May 10, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061b833548190a56a32e634757419 |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.