Triple
T1644194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbria |
E35541
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Montefalco
Montefalco is a historic hilltop town in central Italy renowned for its panoramic views and production of Sagrantino wine.
|
E226324
|
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: Montefalco | Statement: [Umbria, containsCity, Montefalco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montefalco Context triple: [Umbria, containsCity, Montefalco]
-
A.
Norcia
Norcia is a historic town in central Italy renowned for its medieval architecture, monastic heritage, and traditional cured meats.
-
B.
Città di Castello
Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
-
C.
Fermignano
Fermignano is a small town in Italy’s Marche region, best known as the birthplace of Renaissance architect and painter Donato Bramante.
-
D.
Gubbio
Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
-
E.
Orvieto
Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
- 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: Montefalco Triple: [Umbria, containsCity, Montefalco]
Generated description
Montefalco is a historic hilltop town in central Italy renowned for its panoramic views and production of Sagrantino wine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montefalco Target entity description: Montefalco is a historic hilltop town in central Italy renowned for its panoramic views and production of Sagrantino wine.
-
A.
Norcia
Norcia is a historic town in central Italy renowned for its medieval architecture, monastic heritage, and traditional cured meats.
-
B.
Città di Castello
Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
-
C.
Fermignano
Fermignano is a small town in Italy’s Marche region, best known as the birthplace of Renaissance architect and painter Donato Bramante.
-
D.
Gubbio
Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
-
E.
Orvieto
Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622e9b08819094960b2329c6e7e6 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aaf7a008190bf7e5808838c6c2b |
completed | March 8, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69ae0b49abfc81908876ea54c7b7dcc2 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0d1bb5c881908c27bdd359e78773 |
completed | March 8, 2026, 11:58 p.m. |
Created at: March 4, 2026, 7:28 p.m.