Triple
T9710020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangro River |
E234997
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Lanciano
Lanciano is a historic town in Italy’s Abruzzo region, known for its medieval architecture and as the site of a famous Eucharistic miracle.
|
E848203
|
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: Lanciano | Statement: [Sangro River, nearbySettlement, Lanciano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanciano Context triple: [Sangro River, nearbySettlement, Lanciano]
-
A.
Osimo
Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
-
B.
Aversa
Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
-
C.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
D.
Caserta
Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
-
E.
Calenzano
Calenzano is a municipality in the Tuscany region of central Italy, situated near Florence and known for its mix of industrial areas and historic hilltop village.
- 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: Lanciano Triple: [Sangro River, nearbySettlement, Lanciano]
Generated description
Lanciano is a historic town in Italy’s Abruzzo region, known for its medieval architecture and as the site of a famous Eucharistic miracle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanciano Target entity description: Lanciano is a historic town in Italy’s Abruzzo region, known for its medieval architecture and as the site of a famous Eucharistic miracle.
-
A.
Osimo
Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
-
B.
Aversa
Aversa is a historic city in southern Italy’s Campania region, known for its medieval origins and proximity to Naples.
-
C.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
D.
Caserta
Caserta is a city in southern Italy’s Campania region, best known for its grand 18th-century Royal Palace (Reggia di Caserta), a UNESCO World Heritage Site.
-
E.
Calenzano
Calenzano is a municipality in the Tuscany region of central Italy, situated near Florence and known for its mix of industrial areas and historic hilltop village.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da8eaa08190b3ba148d85c5cec5 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354af200881909b08ab9b71d0d53f |
completed | April 6, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_69d3554d2c5c819089ed65a218c00177 |
completed | April 6, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d355a329948190977d68224cc4a5bb |
completed | April 6, 2026, 6:41 a.m. |
Created at: March 30, 2026, 8:19 p.m.