Triple
T9909436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadi Montilivi |
E185100
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object |
Montilivi
Montilivi is a neighborhood in Girona, Catalonia, Spain, known for hosting the Estadi Montilivi football stadium.
|
E830012
|
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: Montilivi | Statement: [Estadi Montilivi, locatedInNeighborhood, Montilivi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montilivi Context triple: [Estadi Montilivi, locatedInNeighborhood, Montilivi]
-
A.
Quargnento
Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
-
B.
Montagnola
Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
-
C.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
D.
Zogno
Zogno is a municipality in northern Italy situated in the Lombardy region’s Bergamo area, known for its location in the Brembana Valley and its surrounding Alpine foothills.
-
E.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
- 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: Montilivi Triple: [Estadi Montilivi, locatedInNeighborhood, Montilivi]
Generated description
Montilivi is a neighborhood in Girona, Catalonia, Spain, known for hosting the Estadi Montilivi football stadium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montilivi Target entity description: Montilivi is a neighborhood in Girona, Catalonia, Spain, known for hosting the Estadi Montilivi football stadium.
-
A.
Quargnento
Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
-
B.
Montagnola
Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
-
C.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
D.
Zogno
Zogno is a municipality in northern Italy situated in the Lombardy region’s Bergamo area, known for its location in the Brembana Valley and its surrounding Alpine foothills.
-
E.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228a405908190ad63ebd659779ed7 |
completed | April 5, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69d229a1abe08190bf28abfc69ce2d64 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a3b87c08190b486eb221bec3465 |
completed | April 5, 2026, 9:24 a.m. |
Created at: March 30, 2026, 8:41 p.m.